2019-06-04 10:11:33 +02:00
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2016-05-05 16:20:33 +05:30
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2017-10-12 11:32:23 +01:00
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2016-11-18 15:47:46 +05:30
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2016-12-01 16:28:19 +05:30
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2016-05-05 16:20:33 +05:30
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PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
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2016-05-05 16:20:33 +05:30
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2018-06-14 12:04:43 +05:30
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2018-09-07 09:01:54 +05:30
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2016-05-05 16:20:33 +05:30
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2017-01-23 10:11:45 +05:30
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2018-09-07 09:01:54 +05:30
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2017-01-23 10:11:45 +05:30
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2018-09-07 09:01:54 +05:30
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2016-05-05 16:20:33 +05:30
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2017-01-23 10:11:49 +05:30
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2016-05-05 16:20:33 +05:30
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2017-01-23 10:11:45 +05:30
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2016-06-16 19:03:11 +05:30
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2017-01-23 10:11:45 +05:30
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2016-05-05 16:20:33 +05:30
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2018-09-07 09:01:54 +05:30
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2017-01-23 10:11:45 +05:30
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2016-05-05 16:20:33 +05:30
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2018-06-07 14:50:43 +05:30
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2021-08-12 16:57:20 +05:30
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2018-06-07 14:50:43 +05:30
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2018-11-22 11:04:00 +05:30
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2018-06-07 14:50:43 +05:30
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2018-11-22 11:04:00 +05:30
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2020-10-27 16:53:21 +05:30
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2018-06-07 14:50:43 +05:30
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2018-11-22 11:04:00 +05:30
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2018-06-07 14:50:43 +05:30
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2020-10-27 16:53:21 +05:30
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2018-06-07 14:50:43 +05:30
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2020-10-27 16:53:21 +05:30
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2018-06-07 14:50:43 +05:30
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2018-11-22 11:04:00 +05:30
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2018-06-07 14:50:43 +05:30
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2019-11-25 13:57:58 +05:30
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2018-06-07 14:50:43 +05:30
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2019-11-25 13:57:58 +05:30
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2018-06-07 14:50:43 +05:30
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2019-11-25 13:57:58 +05:30
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2019-05-08 15:43:36 +05:30
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2018-06-07 14:50:43 +05:30
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2020-12-08 17:42:27 +00:00
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2018-06-07 14:50:43 +05:30
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2021-09-30 15:39:08 +05:30
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2018-06-07 14:50:43 +05:30
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2019-05-08 15:43:36 +05:30
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2018-06-07 14:50:43 +05:30
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2021-06-16 13:33:35 +08:00
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2019-11-25 13:57:58 +05:30
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2018-06-07 14:50:43 +05:30
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2019-11-25 13:57:58 +05:30
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2018-06-07 14:50:43 +05:30
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2018-09-05 16:17:14 +05:30
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2016-05-05 16:20:33 +05:30
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2018-06-14 12:04:43 +05:30
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2016-05-05 16:20:33 +05:30
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2018-06-14 12:04:43 +05:30
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2018-06-13 16:00:11 +05:30
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2018-06-14 12:04:43 +05:30
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2018-06-07 14:50:43 +05:30
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2016-05-05 16:20:33 +05:30
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2018-06-07 14:50:43 +05:30
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2022-07-18 21:36:31 +08:00
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2018-06-07 14:50:43 +05:30
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2018-06-07 14:50:43 +05:30
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2022-07-18 21:36:32 +08:00
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2018-06-07 14:50:43 +05:30
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2019-11-25 13:57:58 +05:30
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2018-06-07 14:50:43 +05:30
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2019-11-25 13:57:58 +05:30
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2018-06-07 14:50:43 +05:30
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2022-07-18 21:36:32 +08:00
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2018-06-07 14:50:43 +05:30
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2019-11-25 13:57:58 +05:30
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2018-06-07 14:50:43 +05:30
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2019-11-25 13:57:58 +05:30
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2021-05-18 12:49:10 +08:00
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2019-11-25 13:57:58 +05:30
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2020-05-28 00:54:18 +05:30
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2022-04-06 09:40:14 +03:00
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2020-05-28 00:54:18 +05:30
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2020-05-12 15:53:21 +03:00
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2020-05-28 00:54:18 +05:30
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2020-05-12 15:53:21 +03:00
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2020-05-28 00:54:18 +05:30
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2020-12-08 17:42:27 +00:00
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2020-05-28 00:54:18 +05:30
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2020-05-12 15:53:21 +03:00
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2016-05-05 16:20:33 +05:30
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2020-08-26 16:32:27 +05:30
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2016-05-05 16:20:33 +05:30
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2016-09-23 15:07:47 -05:00
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2016-05-05 16:20:33 +05:30
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2020-08-26 16:32:27 +05:30
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2016-05-05 16:20:33 +05:30
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2020-08-26 16:32:27 +05:30
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2016-05-05 16:20:33 +05:30
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2020-08-26 16:32:27 +05:30
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2016-05-05 16:20:33 +05:30
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2022-03-02 11:29:14 +00:00
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2016-05-05 16:20:33 +05:30
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2017-05-23 09:32:12 +05:30
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2018-12-11 16:39:36 +05:30
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2017-05-23 09:32:12 +05:30
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2016-05-05 16:20:33 +05:30
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2018-12-11 16:39:36 +05:30
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2016-12-01 16:28:19 +05:30
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2016-05-05 16:20:33 +05:30
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2016-12-01 16:28:19 +05:30
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2016-05-05 16:20:33 +05:30
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2016-12-01 16:28:19 +05:30
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2016-05-05 16:20:33 +05:30
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2016-12-01 16:28:19 +05:30
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2016-05-05 16:20:33 +05:30
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2016-12-01 16:28:19 +05:30
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2016-05-05 16:20:33 +05:30
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2016-12-01 16:28:19 +05:30
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2016-05-05 16:20:33 +05:30
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2016-12-01 16:28:19 +05:30
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2022-03-02 11:29:14 +00:00
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2016-12-01 16:28:19 +05:30
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2022-03-02 11:29:14 +00:00
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2016-12-01 16:28:19 +05:30
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2022-03-02 11:29:14 +00:00
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2016-12-01 16:28:19 +05:30
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2016-05-05 16:20:33 +05:30
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2020-08-20 13:18:23 +05:30
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2016-05-05 16:20:33 +05:30
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2022-06-10 12:02:04 +05:30
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2022-06-09 15:35:36 +05:30
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2020-05-12 15:53:22 +03:00
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2020-05-12 15:53:21 +03:00
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2022-06-09 15:35:36 +05:30
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2020-05-12 15:53:22 +03:00
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2022-06-09 15:35:36 +05:30
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2020-05-12 15:53:22 +03:00
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2020-05-12 15:53:21 +03:00
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2022-06-08 11:57:24 +05:30
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2020-05-12 15:53:19 +03:00
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2020-05-12 15:53:21 +03:00
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2020-05-12 15:53:19 +03:00
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2022-06-10 12:02:04 +05:30
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2020-05-12 15:53:21 +03:00
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2022-06-10 12:02:04 +05:30
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2020-05-12 15:53:19 +03:00
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2020-05-12 15:53:21 +03:00
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2022-06-09 15:35:36 +05:30
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2020-05-12 15:53:21 +03:00
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2022-06-09 15:35:36 +05:30
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2020-05-12 15:53:21 +03:00
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2020-05-12 15:53:19 +03:00
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2016-05-05 16:20:33 +05:30
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2017-01-02 14:41:01 +05:30
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2016-05-05 16:20:33 +05:30
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PM / OPP: _of_add_opp_table_v2(): increment count only if OPP is added
Currently the _of_add_opp_table_v2 call loops through the OPP nodes in
the operating-points-v2 table in the device tree and calls
_opp_add_static_v2 for each to add them to the table. It counts each
iteration through this loop as an added OPP, however there are cases
where _opp_add_static_v2() returns 0 but no new OPP is added to the
list.
This can happen while adding duplicate OPP or if the OPP isn't supported
by hardware.
Because of this the count variable will contain the number of OPP nodes
in the table in device tree but not necessarily the ones that are
actually added.
As this count value is what is checked to determine if there are any
valid OPPs, if a platform has an operating-points-v2 table with all OPP
nodes containing opp-supported-hw values that are not currently
supported, then _of_add_opp_table_v2 will fail to abort as it should due
to an empty table.
Additionally, since commit 3ba98324e81a ("PM / OPP: Get
performance state using genpd helper"), the same count variable is
compared against the number of OPPs containing performance states and
requires that either all or none have pstates set, however in the case
of any opp table that has any entries that do not get added by
_opp_add_static_v2 due to incompatible opp-supported-hw fields, these
numbers will not match and _of_add_opp_table_v2 will incorrectly fail.
We need to clearly identify all the three cases (success, failure,
unsupported/duplicate OPPs) and then increment count only on success
case. Change return type of _opp_add_static_v2() to return the pointer
to the newly added OPP instead of an integer. This routine now returns a
valid pointer if the OPP is really added, NULL for unsupported or
duplicate OPPs, and error value cased as a pointer on errors.
Ideally the fixes tag in this commit should point back to the commit
that introduced OPP v2 initially, as that's where we started incorrectly
accounting for duplicate OPPs:
commit 274659029c9d ("PM / OPP: Add support to parse "operating-points-v2" bindings")
But it wasn't a real problem until recently as the count was only used
to check if any OPPs are added or not. And so this commit points to a
rather recent commit where we added more code that depends on the value
of "count".
Fixes: 3ba98324e81a ("PM / OPP: Get performance state using genpd helper")
Reported-by: Dave Gerlach <d-gerlach@ti.com>
Reported-by: Niklas Cassel <niklas.cassel@linaro.org>
Tested-by: Niklas Cassel <niklas.cassel@linaro.org>
Signed-off-by: Dave Gerlach <d-gerlach@ti.com>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2018-10-03 16:13:15 +05:30
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2016-05-05 16:20:33 +05:30
|
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PM / OPP: _of_add_opp_table_v2(): increment count only if OPP is added
Currently the _of_add_opp_table_v2 call loops through the OPP nodes in
the operating-points-v2 table in the device tree and calls
_opp_add_static_v2 for each to add them to the table. It counts each
iteration through this loop as an added OPP, however there are cases
where _opp_add_static_v2() returns 0 but no new OPP is added to the
list.
This can happen while adding duplicate OPP or if the OPP isn't supported
by hardware.
Because of this the count variable will contain the number of OPP nodes
in the table in device tree but not necessarily the ones that are
actually added.
As this count value is what is checked to determine if there are any
valid OPPs, if a platform has an operating-points-v2 table with all OPP
nodes containing opp-supported-hw values that are not currently
supported, then _of_add_opp_table_v2 will fail to abort as it should due
to an empty table.
Additionally, since commit 3ba98324e81a ("PM / OPP: Get
performance state using genpd helper"), the same count variable is
compared against the number of OPPs containing performance states and
requires that either all or none have pstates set, however in the case
of any opp table that has any entries that do not get added by
_opp_add_static_v2 due to incompatible opp-supported-hw fields, these
numbers will not match and _of_add_opp_table_v2 will incorrectly fail.
We need to clearly identify all the three cases (success, failure,
unsupported/duplicate OPPs) and then increment count only on success
case. Change return type of _opp_add_static_v2() to return the pointer
to the newly added OPP instead of an integer. This routine now returns a
valid pointer if the OPP is really added, NULL for unsupported or
duplicate OPPs, and error value cased as a pointer on errors.
Ideally the fixes tag in this commit should point back to the commit
that introduced OPP v2 initially, as that's where we started incorrectly
accounting for duplicate OPPs:
commit 274659029c9d ("PM / OPP: Add support to parse "operating-points-v2" bindings")
But it wasn't a real problem until recently as the count was only used
to check if any OPPs are added or not. And so this commit points to a
rather recent commit where we added more code that depends on the value
of "count".
Fixes: 3ba98324e81a ("PM / OPP: Get performance state using genpd helper")
Reported-by: Dave Gerlach <d-gerlach@ti.com>
Reported-by: Niklas Cassel <niklas.cassel@linaro.org>
Tested-by: Niklas Cassel <niklas.cassel@linaro.org>
Signed-off-by: Dave Gerlach <d-gerlach@ti.com>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2018-10-03 16:13:15 +05:30
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2016-05-05 16:20:33 +05:30
|
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|
PM / OPP: _of_add_opp_table_v2(): increment count only if OPP is added
Currently the _of_add_opp_table_v2 call loops through the OPP nodes in
the operating-points-v2 table in the device tree and calls
_opp_add_static_v2 for each to add them to the table. It counts each
iteration through this loop as an added OPP, however there are cases
where _opp_add_static_v2() returns 0 but no new OPP is added to the
list.
This can happen while adding duplicate OPP or if the OPP isn't supported
by hardware.
Because of this the count variable will contain the number of OPP nodes
in the table in device tree but not necessarily the ones that are
actually added.
As this count value is what is checked to determine if there are any
valid OPPs, if a platform has an operating-points-v2 table with all OPP
nodes containing opp-supported-hw values that are not currently
supported, then _of_add_opp_table_v2 will fail to abort as it should due
to an empty table.
Additionally, since commit 3ba98324e81a ("PM / OPP: Get
performance state using genpd helper"), the same count variable is
compared against the number of OPPs containing performance states and
requires that either all or none have pstates set, however in the case
of any opp table that has any entries that do not get added by
_opp_add_static_v2 due to incompatible opp-supported-hw fields, these
numbers will not match and _of_add_opp_table_v2 will incorrectly fail.
We need to clearly identify all the three cases (success, failure,
unsupported/duplicate OPPs) and then increment count only on success
case. Change return type of _opp_add_static_v2() to return the pointer
to the newly added OPP instead of an integer. This routine now returns a
valid pointer if the OPP is really added, NULL for unsupported or
duplicate OPPs, and error value cased as a pointer on errors.
Ideally the fixes tag in this commit should point back to the commit
that introduced OPP v2 initially, as that's where we started incorrectly
accounting for duplicate OPPs:
commit 274659029c9d ("PM / OPP: Add support to parse "operating-points-v2" bindings")
But it wasn't a real problem until recently as the count was only used
to check if any OPPs are added or not. And so this commit points to a
rather recent commit where we added more code that depends on the value
of "count".
Fixes: 3ba98324e81a ("PM / OPP: Get performance state using genpd helper")
Reported-by: Dave Gerlach <d-gerlach@ti.com>
Reported-by: Niklas Cassel <niklas.cassel@linaro.org>
Tested-by: Niklas Cassel <niklas.cassel@linaro.org>
Signed-off-by: Dave Gerlach <d-gerlach@ti.com>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2018-10-03 16:13:15 +05:30
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2016-05-05 16:20:33 +05:30
|
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|
|
PM / OPP: _of_add_opp_table_v2(): increment count only if OPP is added
Currently the _of_add_opp_table_v2 call loops through the OPP nodes in
the operating-points-v2 table in the device tree and calls
_opp_add_static_v2 for each to add them to the table. It counts each
iteration through this loop as an added OPP, however there are cases
where _opp_add_static_v2() returns 0 but no new OPP is added to the
list.
This can happen while adding duplicate OPP or if the OPP isn't supported
by hardware.
Because of this the count variable will contain the number of OPP nodes
in the table in device tree but not necessarily the ones that are
actually added.
As this count value is what is checked to determine if there are any
valid OPPs, if a platform has an operating-points-v2 table with all OPP
nodes containing opp-supported-hw values that are not currently
supported, then _of_add_opp_table_v2 will fail to abort as it should due
to an empty table.
Additionally, since commit 3ba98324e81a ("PM / OPP: Get
performance state using genpd helper"), the same count variable is
compared against the number of OPPs containing performance states and
requires that either all or none have pstates set, however in the case
of any opp table that has any entries that do not get added by
_opp_add_static_v2 due to incompatible opp-supported-hw fields, these
numbers will not match and _of_add_opp_table_v2 will incorrectly fail.
We need to clearly identify all the three cases (success, failure,
unsupported/duplicate OPPs) and then increment count only on success
case. Change return type of _opp_add_static_v2() to return the pointer
to the newly added OPP instead of an integer. This routine now returns a
valid pointer if the OPP is really added, NULL for unsupported or
duplicate OPPs, and error value cased as a pointer on errors.
Ideally the fixes tag in this commit should point back to the commit
that introduced OPP v2 initially, as that's where we started incorrectly
accounting for duplicate OPPs:
commit 274659029c9d ("PM / OPP: Add support to parse "operating-points-v2" bindings")
But it wasn't a real problem until recently as the count was only used
to check if any OPPs are added or not. And so this commit points to a
rather recent commit where we added more code that depends on the value
of "count".
Fixes: 3ba98324e81a ("PM / OPP: Get performance state using genpd helper")
Reported-by: Dave Gerlach <d-gerlach@ti.com>
Reported-by: Niklas Cassel <niklas.cassel@linaro.org>
Tested-by: Niklas Cassel <niklas.cassel@linaro.org>
Signed-off-by: Dave Gerlach <d-gerlach@ti.com>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2018-10-03 16:13:15 +05:30
|
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2016-05-05 16:20:33 +05:30
|
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2017-01-02 14:41:01 +05:30
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|
PM / OPP: _of_add_opp_table_v2(): increment count only if OPP is added
Currently the _of_add_opp_table_v2 call loops through the OPP nodes in
the operating-points-v2 table in the device tree and calls
_opp_add_static_v2 for each to add them to the table. It counts each
iteration through this loop as an added OPP, however there are cases
where _opp_add_static_v2() returns 0 but no new OPP is added to the
list.
This can happen while adding duplicate OPP or if the OPP isn't supported
by hardware.
Because of this the count variable will contain the number of OPP nodes
in the table in device tree but not necessarily the ones that are
actually added.
As this count value is what is checked to determine if there are any
valid OPPs, if a platform has an operating-points-v2 table with all OPP
nodes containing opp-supported-hw values that are not currently
supported, then _of_add_opp_table_v2 will fail to abort as it should due
to an empty table.
Additionally, since commit 3ba98324e81a ("PM / OPP: Get
performance state using genpd helper"), the same count variable is
compared against the number of OPPs containing performance states and
requires that either all or none have pstates set, however in the case
of any opp table that has any entries that do not get added by
_opp_add_static_v2 due to incompatible opp-supported-hw fields, these
numbers will not match and _of_add_opp_table_v2 will incorrectly fail.
We need to clearly identify all the three cases (success, failure,
unsupported/duplicate OPPs) and then increment count only on success
case. Change return type of _opp_add_static_v2() to return the pointer
to the newly added OPP instead of an integer. This routine now returns a
valid pointer if the OPP is really added, NULL for unsupported or
duplicate OPPs, and error value cased as a pointer on errors.
Ideally the fixes tag in this commit should point back to the commit
that introduced OPP v2 initially, as that's where we started incorrectly
accounting for duplicate OPPs:
commit 274659029c9d ("PM / OPP: Add support to parse "operating-points-v2" bindings")
But it wasn't a real problem until recently as the count was only used
to check if any OPPs are added or not. And so this commit points to a
rather recent commit where we added more code that depends on the value
of "count".
Fixes: 3ba98324e81a ("PM / OPP: Get performance state using genpd helper")
Reported-by: Dave Gerlach <d-gerlach@ti.com>
Reported-by: Niklas Cassel <niklas.cassel@linaro.org>
Tested-by: Niklas Cassel <niklas.cassel@linaro.org>
Signed-off-by: Dave Gerlach <d-gerlach@ti.com>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2018-10-03 16:13:15 +05:30
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2016-05-05 16:20:33 +05:30
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2022-06-08 11:57:24 +05:30
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2021-06-16 13:33:35 +08:00
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2020-05-12 15:53:19 +03:00
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2016-05-05 16:20:33 +05:30
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2022-06-10 12:02:04 +05:30
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2016-05-05 16:20:33 +05:30
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2022-07-18 21:36:32 +08:00
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2016-05-05 16:20:33 +05:30
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2018-06-07 14:50:43 +05:30
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2016-05-05 16:20:33 +05:30
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2018-06-07 14:50:43 +05:30
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2016-05-05 16:20:33 +05:30
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2018-06-14 10:03:26 +05:30
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2016-05-05 16:20:33 +05:30
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2022-06-08 11:57:24 +05:30
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2017-01-02 14:40:55 +05:30
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2018-06-07 14:50:43 +05:30
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2017-01-02 14:40:55 +05:30
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2016-05-05 16:20:33 +05:30
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2022-06-10 10:32:50 +05:30
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2022-06-10 12:02:04 +05:30
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2019-07-09 16:00:13 +08:00
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2016-05-05 16:20:33 +05:30
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2021-01-18 03:55:24 +03:00
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2022-06-10 12:02:04 +05:30
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2016-12-01 16:28:19 +05:30
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2021-01-18 03:55:24 +03:00
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2016-05-05 16:20:33 +05:30
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2017-01-23 10:11:49 +05:30
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PM / OPP: _of_add_opp_table_v2(): increment count only if OPP is added
Currently the _of_add_opp_table_v2 call loops through the OPP nodes in
the operating-points-v2 table in the device tree and calls
_opp_add_static_v2 for each to add them to the table. It counts each
iteration through this loop as an added OPP, however there are cases
where _opp_add_static_v2() returns 0 but no new OPP is added to the
list.
This can happen while adding duplicate OPP or if the OPP isn't supported
by hardware.
Because of this the count variable will contain the number of OPP nodes
in the table in device tree but not necessarily the ones that are
actually added.
As this count value is what is checked to determine if there are any
valid OPPs, if a platform has an operating-points-v2 table with all OPP
nodes containing opp-supported-hw values that are not currently
supported, then _of_add_opp_table_v2 will fail to abort as it should due
to an empty table.
Additionally, since commit 3ba98324e81a ("PM / OPP: Get
performance state using genpd helper"), the same count variable is
compared against the number of OPPs containing performance states and
requires that either all or none have pstates set, however in the case
of any opp table that has any entries that do not get added by
_opp_add_static_v2 due to incompatible opp-supported-hw fields, these
numbers will not match and _of_add_opp_table_v2 will incorrectly fail.
We need to clearly identify all the three cases (success, failure,
unsupported/duplicate OPPs) and then increment count only on success
case. Change return type of _opp_add_static_v2() to return the pointer
to the newly added OPP instead of an integer. This routine now returns a
valid pointer if the OPP is really added, NULL for unsupported or
duplicate OPPs, and error value cased as a pointer on errors.
Ideally the fixes tag in this commit should point back to the commit
that introduced OPP v2 initially, as that's where we started incorrectly
accounting for duplicate OPPs:
commit 274659029c9d ("PM / OPP: Add support to parse "operating-points-v2" bindings")
But it wasn't a real problem until recently as the count was only used
to check if any OPPs are added or not. And so this commit points to a
rather recent commit where we added more code that depends on the value
of "count".
Fixes: 3ba98324e81a ("PM / OPP: Get performance state using genpd helper")
Reported-by: Dave Gerlach <d-gerlach@ti.com>
Reported-by: Niklas Cassel <niklas.cassel@linaro.org>
Tested-by: Niklas Cassel <niklas.cassel@linaro.org>
Signed-off-by: Dave Gerlach <d-gerlach@ti.com>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2018-10-03 16:13:15 +05:30
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|
2016-05-05 16:20:33 +05:30
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|
|
2018-06-07 14:50:43 +05:30
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2016-05-05 16:20:33 +05:30
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2017-01-02 14:41:01 +05:30
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2021-10-08 15:46:52 +08:00
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2016-05-05 16:20:33 +05:30
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2018-09-12 11:21:17 +05:30
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2016-05-05 16:20:33 +05:30
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2020-09-11 14:56:18 +05:30
|
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2016-11-18 15:47:46 +05:30
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2016-05-05 16:20:33 +05:30
|
|
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2018-09-07 09:01:54 +05:30
|
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2019-11-11 16:35:03 +05:30
|
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2018-09-07 09:01:54 +05:30
|
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2019-11-11 16:35:03 +05:30
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2018-09-07 09:01:54 +05:30
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2019-11-11 16:35:03 +05:30
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2019-10-18 14:11:58 +05:30
|
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2016-05-05 16:20:33 +05:30
|
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2018-09-12 11:21:17 +05:30
|
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|
PM / OPP: _of_add_opp_table_v2(): increment count only if OPP is added
Currently the _of_add_opp_table_v2 call loops through the OPP nodes in
the operating-points-v2 table in the device tree and calls
_opp_add_static_v2 for each to add them to the table. It counts each
iteration through this loop as an added OPP, however there are cases
where _opp_add_static_v2() returns 0 but no new OPP is added to the
list.
This can happen while adding duplicate OPP or if the OPP isn't supported
by hardware.
Because of this the count variable will contain the number of OPP nodes
in the table in device tree but not necessarily the ones that are
actually added.
As this count value is what is checked to determine if there are any
valid OPPs, if a platform has an operating-points-v2 table with all OPP
nodes containing opp-supported-hw values that are not currently
supported, then _of_add_opp_table_v2 will fail to abort as it should due
to an empty table.
Additionally, since commit 3ba98324e81a ("PM / OPP: Get
performance state using genpd helper"), the same count variable is
compared against the number of OPPs containing performance states and
requires that either all or none have pstates set, however in the case
of any opp table that has any entries that do not get added by
_opp_add_static_v2 due to incompatible opp-supported-hw fields, these
numbers will not match and _of_add_opp_table_v2 will incorrectly fail.
We need to clearly identify all the three cases (success, failure,
unsupported/duplicate OPPs) and then increment count only on success
case. Change return type of _opp_add_static_v2() to return the pointer
to the newly added OPP instead of an integer. This routine now returns a
valid pointer if the OPP is really added, NULL for unsupported or
duplicate OPPs, and error value cased as a pointer on errors.
Ideally the fixes tag in this commit should point back to the commit
that introduced OPP v2 initially, as that's where we started incorrectly
accounting for duplicate OPPs:
commit 274659029c9d ("PM / OPP: Add support to parse "operating-points-v2" bindings")
But it wasn't a real problem until recently as the count was only used
to check if any OPPs are added or not. And so this commit points to a
rather recent commit where we added more code that depends on the value
of "count".
Fixes: 3ba98324e81a ("PM / OPP: Get performance state using genpd helper")
Reported-by: Dave Gerlach <d-gerlach@ti.com>
Reported-by: Niklas Cassel <niklas.cassel@linaro.org>
Tested-by: Niklas Cassel <niklas.cassel@linaro.org>
Signed-off-by: Dave Gerlach <d-gerlach@ti.com>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2018-10-03 16:13:15 +05:30
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2016-05-05 16:20:33 +05:30
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2017-10-04 11:35:03 +05:30
|
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2019-11-11 16:35:03 +05:30
|
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PM / OPP: _of_add_opp_table_v2(): increment count only if OPP is added
Currently the _of_add_opp_table_v2 call loops through the OPP nodes in
the operating-points-v2 table in the device tree and calls
_opp_add_static_v2 for each to add them to the table. It counts each
iteration through this loop as an added OPP, however there are cases
where _opp_add_static_v2() returns 0 but no new OPP is added to the
list.
This can happen while adding duplicate OPP or if the OPP isn't supported
by hardware.
Because of this the count variable will contain the number of OPP nodes
in the table in device tree but not necessarily the ones that are
actually added.
As this count value is what is checked to determine if there are any
valid OPPs, if a platform has an operating-points-v2 table with all OPP
nodes containing opp-supported-hw values that are not currently
supported, then _of_add_opp_table_v2 will fail to abort as it should due
to an empty table.
Additionally, since commit 3ba98324e81a ("PM / OPP: Get
performance state using genpd helper"), the same count variable is
compared against the number of OPPs containing performance states and
requires that either all or none have pstates set, however in the case
of any opp table that has any entries that do not get added by
_opp_add_static_v2 due to incompatible opp-supported-hw fields, these
numbers will not match and _of_add_opp_table_v2 will incorrectly fail.
We need to clearly identify all the three cases (success, failure,
unsupported/duplicate OPPs) and then increment count only on success
case. Change return type of _opp_add_static_v2() to return the pointer
to the newly added OPP instead of an integer. This routine now returns a
valid pointer if the OPP is really added, NULL for unsupported or
duplicate OPPs, and error value cased as a pointer on errors.
Ideally the fixes tag in this commit should point back to the commit
that introduced OPP v2 initially, as that's where we started incorrectly
accounting for duplicate OPPs:
commit 274659029c9d ("PM / OPP: Add support to parse "operating-points-v2" bindings")
But it wasn't a real problem until recently as the count was only used
to check if any OPPs are added or not. And so this commit points to a
rather recent commit where we added more code that depends on the value
of "count".
Fixes: 3ba98324e81a ("PM / OPP: Get performance state using genpd helper")
Reported-by: Dave Gerlach <d-gerlach@ti.com>
Reported-by: Niklas Cassel <niklas.cassel@linaro.org>
Tested-by: Niklas Cassel <niklas.cassel@linaro.org>
Signed-off-by: Dave Gerlach <d-gerlach@ti.com>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2018-10-03 16:13:15 +05:30
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2016-05-05 16:20:33 +05:30
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2021-07-26 10:30:56 +02:00
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2019-11-18 14:41:07 +05:30
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2019-11-11 16:35:03 +05:30
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2019-11-18 14:41:07 +05:30
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2016-05-05 16:20:33 +05:30
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2020-09-11 14:56:18 +05:30
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2016-11-18 15:47:46 +05:30
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2019-11-25 13:57:58 +05:30
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2018-09-12 12:35:19 +05:30
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2019-11-18 14:41:07 +05:30
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2019-11-11 16:35:03 +05:30
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2019-11-18 14:41:07 +05:30
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2016-05-05 16:20:33 +05:30
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2018-09-12 11:21:17 +05:30
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2016-05-05 16:20:33 +05:30
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2017-01-02 14:41:01 +05:30
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2016-05-05 16:20:33 +05:30
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2020-09-01 15:07:09 +05:30
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2016-05-05 16:20:33 +05:30
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2020-09-01 15:07:09 +05:30
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2016-05-05 16:20:33 +05:30
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2020-09-01 15:07:09 +05:30
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2016-05-05 16:20:33 +05:30
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2017-01-02 14:41:01 +05:30
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2017-01-02 14:40:58 +05:30
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2020-09-01 15:07:09 +05:30
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2017-01-02 14:40:58 +05:30
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2016-05-05 16:20:33 +05:30
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2020-10-14 09:56:28 +05:30
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2020-09-01 15:07:09 +05:30
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2017-01-02 14:41:01 +05:30
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2016-05-05 16:20:33 +05:30
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2022-07-05 09:41:56 +05:30
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2016-05-05 16:20:33 +05:30
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2018-09-12 11:21:17 +05:30
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2021-01-27 12:45:56 +05:30
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2016-05-05 16:20:33 +05:30
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2021-01-27 12:45:56 +05:30
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2022-07-05 09:41:56 +05:30
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opp: Allow dev_pm_opp_get_opp_table() to return -EPROBE_DEFER
The OPP core manages various resources, e.g. clocks or interconnect paths.
These resources are looked up when the OPP table is allocated once
dev_pm_opp_get_opp_table() is called the first time (either directly
or indirectly through one of the many helper functions).
At this point, the resources may not be available yet, i.e. looking them
up will result in -EPROBE_DEFER. Unfortunately, dev_pm_opp_get_opp_table()
is currently unable to propagate this error code since it only returns
the allocated OPP table or NULL.
This means that all consumers of the OPP core are required to make sure
that all necessary resources are available. Usually this happens by
requesting them, checking the result and releasing them immediately after.
For example, we have added "dev_pm_opp_of_find_icc_paths(dev, NULL)" to
several drivers now just to make sure the interconnect providers are
ready before the OPP table is allocated. If this call is missing,
the OPP core will only warn about this and then attempt to continue
without interconnect. This will eventually fail horribly, e.g.:
cpu cpu0: _allocate_opp_table: Error finding interconnect paths: -517
... later ...
of: _read_bw: Mismatch between opp-peak-kBps and paths (1 0)
cpu cpu0: _opp_add_static_v2: opp key field not found
cpu cpu0: _of_add_opp_table_v2: Failed to add OPP, -22
This example happens when trying to use interconnects for a CPU OPP
table together with qcom-cpufreq-nvmem.c. qcom-cpufreq-nvmem calls
dev_pm_opp_set_supported_hw(), which ends up allocating the OPP table
early. To fix the problem with the current approach we would need to add
yet another call to dev_pm_opp_of_find_icc_paths(dev, NULL).
But actually qcom-cpufreq-nvmem.c has nothing to do with interconnects...
This commit attempts to make this more robust by allowing
dev_pm_opp_get_opp_table() to return an error pointer. Fixing all
the usages is trivial because the function is usually used indirectly
through another helper (e.g. dev_pm_opp_set_supported_hw() above).
These other helpers already return an error pointer.
The example above then works correctly because set_supported_hw() will
return -EPROBE_DEFER, and qcom-cpufreq-nvmem.c already propagates that
error. It should also be possible to remove the remaining usages of
"dev_pm_opp_of_find_icc_paths(dev, NULL)" from other drivers as well.
Note that this commit currently only handles -EPROBE_DEFER for the
clock/interconnects within _allocate_opp_table(). Other errors are just
ignored as before. Eventually those should be propagated as well.
Signed-off-by: Stephan Gerhold <stephan@gerhold.net>
Acked-by: Krzysztof Kozlowski <krzk@kernel.org>
Reviewed-by: Ulf Hansson <ulf.hansson@linaro.org>
[ Viresh: skip checking return value of dev_pm_opp_get_opp_table() for
EPROBE_DEFER in domain.c, fix NULL return value and reorder
code a bit in core.c, and update exynos-asv.c ]
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2020-07-27 11:30:46 +02:00
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2018-09-12 11:21:17 +05:30
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2016-05-05 16:20:33 +05:30
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2018-09-12 11:21:17 +05:30
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2016-05-05 16:20:33 +05:30
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2018-09-12 11:21:17 +05:30
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2016-05-05 16:20:33 +05:30
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2018-09-12 11:21:17 +05:30
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2016-05-05 16:20:33 +05:30
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2021-03-14 19:33:57 +03:00
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2022-07-05 09:41:56 +05:30
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2021-09-20 20:22:46 +03:00
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2022-07-05 09:41:56 +05:30
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2021-09-20 20:22:46 +03:00
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2021-03-14 19:33:57 +03:00
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2021-03-14 19:33:57 +03:00
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2017-04-26 10:45:46 +05:30
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2021-01-27 12:45:56 +05:30
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2017-04-26 10:45:46 +05:30
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2021-01-27 12:45:56 +05:30
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2017-04-26 10:45:46 +05:30
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2022-07-05 09:41:56 +05:30
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2021-01-27 12:45:56 +05:30
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2022-07-05 09:41:56 +05:30
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2017-04-26 10:45:46 +05:30
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2021-09-20 20:22:46 +03:00
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2022-07-05 09:41:56 +05:30
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2021-09-20 20:22:46 +03:00
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2016-05-05 16:20:33 +05:30
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2018-09-13 13:14:36 +05:30
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2016-05-05 16:20:33 +05:30
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2018-10-03 15:12:06 +05:30
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2018-10-03 15:12:06 +05:30
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2017-07-12 09:21:49 +05:30
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2018-10-03 15:12:06 +05:30
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2016-05-05 16:20:33 +05:30
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2017-07-27 12:01:17 +02:00
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2016-05-05 16:20:33 +05:30
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2017-02-03 11:29:26 -06:00
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2016-05-05 16:20:33 +05:30
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2016-10-20 16:12:49 +09:00
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2017-10-12 11:32:23 +01:00
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2017-11-29 15:18:36 +05:30
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2018-06-27 16:29:50 +05:30
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2017-11-29 15:18:36 +05:30
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2018-06-27 16:29:50 +05:30
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2017-11-29 15:18:36 +05:30
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2018-06-27 16:29:50 +05:30
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2017-11-29 15:18:36 +05:30
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2018-12-14 15:20:56 +05:30
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2017-11-29 15:18:36 +05:30
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2018-12-14 15:20:56 +05:30
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2017-11-29 15:18:36 +05:30
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2018-06-27 16:29:50 +05:30
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2017-11-29 15:18:36 +05:30
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2018-12-14 15:20:56 +05:30
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2017-11-29 15:18:36 +05:30
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2018-06-27 16:29:50 +05:30
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2021-08-12 16:57:20 +05:30
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2017-11-29 15:18:36 +05:30
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2018-06-27 16:29:50 +05:30
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2017-11-29 15:18:36 +05:30
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2018-06-27 16:29:50 +05:30
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2017-11-29 15:18:36 +05:30
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2018-06-27 16:29:50 +05:30
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2017-11-29 15:18:36 +05:30
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2018-06-27 16:29:50 +05:30
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2017-11-29 15:18:36 +05:30
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2018-06-27 16:29:50 +05:30
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2017-11-29 15:18:36 +05:30
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2018-06-27 16:29:50 +05:30
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2018-01-12 10:03:45 +05:30
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PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
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2022-03-02 11:29:16 +00:00
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2022-07-07 08:15:52 +01:00
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2022-03-02 11:29:16 +00:00
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2022-07-07 08:15:52 +01:00
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2022-03-02 11:29:16 +00:00
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2022-07-07 08:15:52 +01:00
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2022-03-02 11:29:16 +00:00
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PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
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|
|
|
|
|
|
2020-05-27 10:58:54 +01:00
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
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|
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|
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|
2022-07-07 08:15:52 +01:00
|
|
|
|
2020-05-27 10:58:54 +01:00
|
|
|
|
|
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
|
|
2020-05-27 10:58:54 +01:00
|
|
|
|
|
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
|
|
2022-07-07 08:15:52 +01:00
|
|
|
|
2022-03-21 09:57:25 +00:00
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
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|
|
|
|
|
|
|
|
2020-05-27 10:58:54 +01:00
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
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|
|
|
|
2020-05-27 10:58:54 +01:00
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
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|
|
|
2022-07-07 08:15:52 +01:00
|
|
|
|
|
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
|
|
2022-07-07 08:15:52 +01:00
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
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|
2022-03-02 11:29:16 +00:00
|
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PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
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2020-05-27 10:58:54 +01:00
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PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
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2020-05-27 10:58:54 +01:00
|
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|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
|
|
2020-05-27 10:58:54 +01:00
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
|
|
2022-03-02 11:29:16 +00:00
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
|
|
2020-05-27 10:58:54 +01:00
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
|
|
|
|
|
|
|
2020-05-27 10:58:54 +01:00
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
|
|
2020-05-27 10:58:54 +01:00
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
|
|
2022-03-02 11:29:16 +00:00
|
|
|
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2020-05-27 10:58:54 +01:00
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
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|
|
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2020-05-27 10:58:54 +01:00
|
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|
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|
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|
|
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
|
|
2022-03-02 11:29:16 +00:00
|
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|
2020-11-05 12:50:01 +00:00
|
|
|
|
2020-05-27 10:58:54 +01:00
|
|
|
|
|
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
|
|
|
2020-05-27 10:58:54 +01:00
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
PM / OPP: Introduce a power estimation helper
The Energy Model (EM) framework provides an API to let drivers register
the active power of CPUs. The drivers are expected to provide a callback
method which estimates the power consumed by a CPU at each available
performance levels. How exactly this should be implemented, however,
depends on the platform.
On some systems, PM_OPP knows the voltage and frequency at which CPUs
can run. When coupled with the CPU 'capacitance' (as provided by the
'dynamic-power-coefficient' devicetree binding), it is possible to
estimate the dynamic power consumption of a CPU as P = C * V^2 * f, with
C its capacitance and V and f respectively the voltage and frequency of
the OPP. The Intelligent Power Allocator (IPA) thermal governor already
implements that estimation method, in the thermal framework.
However, this power estimation method can be applied to any platform
where all the parameters are known (C, V and f), and not only those
suffering thermal issues. As such, the code implementing this feature
can be re-used to also populate the EM framework now used by EAS.
As a first step, introduce in PM_OPP a helper function which CPUFreq
drivers can use to register into the EM framework. This duplicates the
power estimation done in IPA until it can be migrated to using the EM
framework. This will be done later, once the EM framework has support
for at least all platforms currently supported by IPA.
Signed-off-by: Quentin Perret <quentin.perret@arm.com>
Tested-by: Matthias Kaehlcke <mka@chromium.org>
Reviewed-by: Matthias Kaehlcke <mka@chromium.org>
Signed-off-by: Viresh Kumar <viresh.kumar@linaro.org>
2019-02-04 11:09:48 +00:00
|
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|
|
|
|
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|
|