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path: root/drivers/gpu/nvgpu/gk20a/clk_gk20a.c
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* gpu: nvgpu: Use device instead of platform_deviceTerje Bergstrom2016-04-08
| | | | | | | | | Use struct device instead of struct platform_device wherever possible. This allows adding other bus types later. Change-Id: I1657287a68d85a542cdbdd8a00d1902c3d6e00ed Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1120466
* gpu: nvgpu: Move clk bypass div code to clk initTerje Bergstrom2015-07-03
| | | | | | | | | | | | | Clock bypass divider was changed just before resetting priv ring. Move the code to a new clk op instead so that it is executed only on gk20a. Change-Id: Ic8084a4a5fac23770f50b50f910ced2543ba0f28 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/764970 Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Aleksandr Frid <afrid@nvidia.com> Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
* gpu: nvgpu: Combine delays with GK20A parametersAlex Frid2015-05-18
| | | | | | | | | | Specified locking timeout and IDDQ exit delay as GK20A PLL parameters, and used this data instead of hard-coded numbers. Change-Id: I59e16ed11fdba6911f2751195d182e68aed96851 Signed-off-by: Alex Frid <afrid@nvidia.com> Reviewed-on: http://git-master/r/735481 Reviewed-by: Yu-Huan Hsu <yhsu@nvidia.com>
* arm: tegra: Register tegra-throttle cdev as driverArun Kumar Swain2015-03-18
| | | | | | | | | | | | | | 1. Register tegra-throttle cooling device as a platform driver. 2. Obtain all the platform data (throtlle table info) for all instances of blanced-throtlled cdev from device tree and register them. Change-Id: Ie92685eea3eb5cb18068b195adc9ab5f83762399 Signed-off-by: Arun Kumar Swain <arswain@nvidia.com> Reviewed-on: http://git-master/r/449104 Reviewed-by: Diwakar Tundlam <dtundlam@nvidia.com> Tested-by: Diwakar Tundlam <dtundlam@nvidia.com>
* gpu: nvgpu: Use GPU device name in clock get operationAlex Frid2015-03-18
| | | | | | | | | | | | | | Used GPU device name in clock get operation (instead of fixed name), to make operation is common for GK20A and GM20B. Updated clock ids in tegra clock framework accordingly. Bug 1450787 Change-Id: Ifd5b9c3a6fd8db5b06e6dcd989285e8410794803 Signed-off-by: Alex Frid <afrid@nvidia.com> Reviewed-on: http://git-master/r/441711 Reviewed-by: Bo Yan <byan@nvidia.com> Tested-by: Bo Yan <byan@nvidia.com>
* gpu: nvgpu: Make clock operations staticAlex Frid2015-03-18
| | | | | | | | | | | | | Made GK20A and GM20B clock operations static, since they are invoked only via HAL interfaces. Bug 1450787 Change-Id: Ia30218ad4244bd8790b5ef96d1963678d0ba39e1 Signed-off-by: Alex Frid <afrid@nvidia.com> Reviewed-on: http://git-master/r/441710 Reviewed-by: Bo Yan <byan@nvidia.com> Tested-by: Bo Yan <byan@nvidia.com>
* gpu: nvgpu: Fork GM20B clock from GK20A clockHoang Pham2015-03-18
| | | | | | | | | Bug 1450787 Change-Id: Id7fb699d9129a272286d6bc93e0e95844440a628 Signed-off-by: Hoang Pham <hopham@nvidia.com> Reviewed-on: http://git-master/r/440536 Reviewed-by: Yu-Huan Hsu <yhsu@nvidia.com>
* gpu: nvgpu: Init clock debugfs after clock supportAlex Frid2015-03-18
| | | | | | | | | | | | Initialized GK20A clock debugfs after clock support hardware and software are ready. Bug 1450787 Change-Id: I8ec2ef303a84b9151b7ce209a1864f1729382a44 Signed-off-by: Alex Frid <afrid@nvidia.com> Reviewed-on: http://git-master/r/440973 Reviewed-by: Yu-Huan Hsu <yhsu@nvidia.com>
* gpu: nvgpu: Remove unused GK20A cooling deviceAlex Frid2015-03-18
| | | | | | | | | | | Removed unused, obsolete GK20A cooling device. Bug 1450787 Change-Id: I5b02546d0405dd518ec841d903e650a8d38db8f2 Signed-off-by: Alex Frid <afrid@nvidia.com> Reviewed-on: http://git-master/r/437942 Reviewed-by: Yu-Huan Hsu <yhsu@nvidia.com>
* gpu: Split clk_ops for GK20A and GM20BHoang Pham2015-03-18
| | | | | | | | | | | Split clk_ops for GK20A and GM20B into different files Bug 1450787 Change-Id: I34d16c54ac40c70854e80588475434c9e50b51a5 Signed-off-by: Hoang Pham <hopham@nvidia.com> Reviewed-on: http://git-master/r/437771 Reviewed-by: Yu-Huan Hsu <yhsu@nvidia.com>
* gpu: nvgpu: Use 1kHz resolution for GPCPLL programmingAlex Frid2015-03-18
| | | | | | | | | | | | | | | | | Used 1kHz resolution (instead of 1 MHz) for GPCPLL programming: limits specifications, calculating GPCPLL settings, storing target frequency values, and proving output from debug monitor. Updated comments in clock header to properly reflect frequency units. Bug 1450787 Change-Id: Ica58f794b82522288f2883c40626d82dbd794902 Signed-off-by: Alex Frid <afrid@nvidia.com> Reviewed-on: http://git-master/r/437943 Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Tested-by: Seshendra Gadagottu <sgadagottu@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Yu-Huan Hsu <yhsu@nvidia.com>
* gpu: nvgpu: Add NVIDIA GPU DriverArto Merilainen2015-03-18
This patch moves the NVIDIA GPU driver to a new location. Bug 1482562 Change-Id: I24293810b9d0f1504fd9be00135e21dad656ccb6 Signed-off-by: Arto Merilainen <amerilainen@nvidia.com> Reviewed-on: http://git-master/r/383722 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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