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* gpu: nvgpu: set soc memory aperture typeSeshendra Gadagottu2016-04-23
| | | | | | | | | | | | | | | Set platform data for soc memory aperture type, whether soc memory aperture seen as sysmem or vidmem. For gk20a/gm20b, soc memory aperture seen as vidmem. Bug 1749338 Change-Id: I407562ca484c1a4bae1bee12089d2b19f378ca53 Signed-off-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-on: http://git-master/r/1129167 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Ken Adams <kadams@nvidia.com>
* 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: Make use of reset controller optionalTerje Bergstrom2016-03-16
| | | | | | | | | Reset controller is not enabled in all builds, so make its use optional. Change-Id: I88df11d0aae0552eb4c7f3acee5be70885ea2901 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1028348
* gpu: nvgpu: set aggressive_sync_destroy at runtimeDeepak Nibade2015-11-23
| | | | | | | | | | | | | | | | | | | | | | We currently set "aggressive_destroy" flag to destroy sync object statically and for each sync object Move this flag to per-platform structure so that it can be set per-platform for all the sync objects Also, set the default value of this flag as "false" and set it to "true" once we have more than 64 channels in use Bug 200141116 Change-Id: I1bc271df4f468a4087a06a27c7289ee0ec3ef29c Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/822041 (cherry picked from commit 98741e7e88066648f4f14490c76b61dbff745103) Reviewed-on: http://git-master/r/835800 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: update name for gpu debugfs nodeMahantesh Kumbar2015-11-23
| | | | | | | | | | | | | | Create constant name for gpu debugfs node across all chip. Bug n/a Change-Id: I359b82b5389c49d8fe2a31ace49ff6daa1edfb10 Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com> Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/805397 Signed-off-by: Seema Khowala <seemaj@nvidia.com> (cherry-picked from commit 17a3882cde09412c68f7a0ee4765f45be1a51c45) Reviewed-on: http://git-master/r/817014
* gpu: nvgpu: scaling driver updateSeshendra Gadagottu2015-11-19
| | | | | | | | | | | | | | | | Update scaling driver to support to differnt clock frameworks. Bug 200147662 Reviewed-on: http://git-master/r/816929 (cherry picked from commit cbd4cb575fb2d27870089797ff2a8f22540b87e8) Change-Id: Ie50304b4a593d74bd43b271005cc9616fdb52a6e Signed-off-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-on: http://git-master/r/834748 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: use platform data for ptimer source rateSeshendra Gadagottu2015-11-04
| | | | | | | | | | | | | | | | Instead of depending on clock frame-work, use platform data for ptimer source rate. Removed ptimerscaling10x platform data, and use ptimer source frequency to calculate ptimerscaling factor. Reviewed-on: http://git-master/r/819030 (cherry picked from commit dd291334d54dab80cab7eb1656dffc48a59610b4) Change-Id: I7638ce9875a6e440bbfc2ba2da0d0b094b2700ff Signed-off-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-on: http://git-master/r/827300 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: make wdt timeout per-platformDeepak Nibade2015-10-07
| | | | | | | | | | | | | | | | Channel watchdog timeout is set to a costant value of 5s as of now Make this timeout platform specific and set it to 5s for gm20b and 7s for gk20a Bug 200133289 Change-Id: I6e7f0fed93a8d5b197ae46807131311196c6636f Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/810956 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: scale ptimer based timeoutsVijayakumar2015-10-06
| | | | | | | | | | | | | | | | | bug 1603226 host based timeouts use ptimer for detecting timeouts. on gk20a and gm20b ptimer runs 2.6x slower. scale the fifo_eng_timeout to account for this Change-Id: Ie44718382953e36436ea47d6e89b9a225d5c2070 Signed-off-by: Vijayakumar <vsubbu@nvidia.com> Reviewed-on: http://git-master/r/799983 (cherry picked from commit d1d837fd09ff0f035feff1757c67488404c23cc6) Reviewed-on: http://git-master/r/808250 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: support reset_control APIDeepak Nibade2015-10-06
| | | | | | | | | | | | | | Bug 200137963 Change-Id: I3197af905c945540b97ba191e5695d970d77af8e Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/797154 (cherry picked from commit 8a50245ea636deb87a3d9435fb115b4eac88fac9) Reviewed-on: http://git-master/r/808247 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Implement own rail gating codeTerje Bergstrom2015-07-07
| | | | | | | | | | | Move rail gating sequence to happen in nvgpu driver instead of piggybacking on Tegra power gating APIs. Bug 200115454 Change-Id: I8514686c7b137f200021b05ead7157d0883bddc5 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/761991
* gpu: nvgpu: SMMU bypassTerje Bergstrom2015-05-05
| | | | | | | | | | | | | | | | | Improve GMMU mapping code to cope with discontiguous buffers. Add debugfs entry that allows bypassing SMMU and disabling big pages. Bug 1605769 Change-Id: I14d32c62293a16ff8c7195377c75a85fa8061083 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/717503 Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/737533 Reviewed-by: Alexander Van Brunt <avanbrunt@nvidia.com> Tested-by: Alexander Van Brunt <avanbrunt@nvidia.com> Reviewed-by: Automatic_Commit_Validation_User
* Revert "gpu: nvgpu: Enable syncpt reclaim only on gm20b"Timo Alho2015-03-18
| | | | | | | | | | This reverts commit 8eefb93c21934b101d7f423c38d9ea384a45fad6. Bug 1585422 Change-Id: I217e0ffe6c230ee3c63d9aec1c48ce9c41770468 Signed-off-by: Timo Alho <talho@nvidia.com> Reviewed-on: http://git-master/r/659426
* gpu: nvgpu: Enable syncpt reclaim only on gm20bTerje Bergstrom2015-03-18
| | | | | | | | | | | | | gm20b has more channels than sync points. We use aggressive reclaim of sync points to offset that. Disable aggressive reclaim for gk20a because it is not needed there. Bug 1583849 Change-Id: I2a74b0504150a54cb8a97016effe20c5d905ac95 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/657095 Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
* gpu: nvgpu: remove platform device on exitKonsta Holtta2015-03-18
| | | | | | | | | | | | | Add ->remove() for undoing the ->probe() and ->late_probe() in gk20a_platform devices, and call it when gk20a is removed. Bug 1476801 Change-Id: Ic9b29c0a7ea4a4cae7b5a0f66774bd799eb28434 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/594443 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: force CAR reset in do_idle() for gm20bDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | | | | In gk20a_do_idle(), we wait for platform->railgate_delay to allow GPU to go into rail gate But sometimes we set platform->railgate_delay = INT_MAX to disable GPU rail gating but allow it to suspend during low power state Due to this, force_idle API fails (it waits for INT_MAX) To fix this, allow forcing CAR reset instead of rail gating with flag "force_reset_in_do_idle" defined in gk20a_platform Set this flag for gm20b until we fix the railgate_delay Bug 1517584 Change-Id: I031aa56f87d4db3727e2c3a3e5eeaf18503dd449 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/593704 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: fix reset clock in gm20bDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | | | | | | To assert reset on GPU, we store "gpu_ref" clock in platform->clk[0] and use it to assert/deassert reset But for gm20b, "gpu_ref" is no longer resettable. To fix this, add two callbacks in gk20a_platform : .reset_assert and .reset_deassert Also, add a pointer "clk_reset" to store the clock which needs to be reset For gk20a specific implementation, we continue to reset platform->clk[0] For gm20b specific implementation, we first request "gpu_gate" clock, store it and use it to assert reset Bug 1513685 Bug 1517584 Change-Id: I15a583a4a07eb663b442084be8b8c7d0c7c7a142 Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
* gpu: nvgpu: T18x supportKenneth Adams2015-03-18
| | | | | | | | | | nvgpu framework and build for T18x Bug 1567274 Change-Id: I77835302a1110573008869d1106eface512bb9b1 Signed-off-by: Ken Adams <kadams@nvidia.com> Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: cde: move GK20A_CDE to platform dataKonsta Holtta2015-03-18
| | | | | | | | | | | | | | | | | CONFIG_GK20A_CDE has not even been used for enabling CDE, just for initializing it at boot time, and it was disabled; initialization has been done late when the engine is first used. Remove the config setting and add information about CDE support in gk20a platform data, forcing the initialization at boot time. Boot time init removes rare race conditions when CDE would be initialized by first user. Bug 200046882 Change-Id: I85d5fb73dc27acbbe203138d25f6e342de030d93 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/562855 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Implement 64k large page supportTerje Bergstrom2015-03-18
| | | | | | | | | | | | | | | Implement support for 64kB large page size. Add an API to create an address space via IOCTL so that we can accept flags, and assign one flag for enabling 64kB large page size. Also adds APIs to set per-context large page size. This is possible only on Maxwell, so return error if caller tries to set large page size on Kepler. Default large page size is still 128kB. Change-Id: I20b51c8f6d4a984acae8411ace3de9000c78e82f Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Add no-op stubs for vgpuKonsta Holtta2015-03-18
| | | | | | | | | | | | Implement empty or -ENOSYS functions for vgpu if CONFIG_TEGRA_GR_VIRTUALIZATION is not enabled, and remove ifdefs around the calling code. Change-Id: Idc75c9bc486d661786bc222bd9e0380aa7766e78 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/552898 Reviewed-by: Aingara Paramakuru <aparamakuru@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: support gk20a virtualizationAingara Paramakuru2015-03-18
| | | | | | | | | | | | | The nvgpu driver now supports using the Tegra graphics virtualization interfaces to support gk20a in a virtualized environment. Bug 1509608 Change-Id: I6ede15ee7bf0b0ad8a13e8eb5f557c3516ead676 Signed-off-by: Aingara Paramakuru <aparamakuru@nvidia.com> Reviewed-on: http://git-master/r/440122 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: poweron host1x explicitlyDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | Currently gk20a gets reference of host1x via phandle in Device Tree. But runtime PM does not seem to be handling power dependencies too well in this case and hence some times host1x is off when we need it. To fix this, exlicitly power on host1x while powering gpu up. Do this via "busy" and "idle" callbacks from gk20a_platform Bug 1534272 Bug 200022536 Change-Id: Ia562ee19722cfc8edc5626a5a058ab8edfe3d206 Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
* gpu: nvgpu: fix race between do_idle() and unrailgate()Deepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | | | | | | | | | While we are executing do_idle() API, it is possible that unrailgate() gets invoked in midst of idling the GPU and this can result in failure of do_idle() To prevent simultaneous execution of these methods, add a mutex railgate_lock and acquire it during do_idle() and unrailgate() APIs Also, keep this lock held if do_idle() is successful. In success, lock will be released in do_unidle(), otherwise release this lock before returning Note that this lock should not be held in railgate() API since we do not want it to be blocked during do_idle() bug 1529160 Change-Id: I87114b5367eaa217376455a2699c0d21c451c889 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/434190 (cherry picked from commit 561dc8e0933ff2d72573292968b893a52f5f783a) Reviewed-on: http://git-master/r/435131 Reviewed-by: Arto Merilainen <amerilainen@nvidia.com> Reviewed-by: Sachin Nikam <snikam@nvidia.com>
* gpu: nvgpu: do not abort probe if secure page alloc failsDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | Do not abort GPU probe if secure page alloc fails. We can just note that this allocation failed (using bool secure_alloc_ready) and prevent further secure memory allocation if this flag is not set. Bug 1525465 Change-Id: Ie4eb6393951690174013d2de3db507876d7b657f Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/427730 GVS: Gerrit_Virtual_Submit Reviewed-by: Shridhar Rasal <srasal@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: make pm config as platform dataSeshendra Gadagottu2015-03-18
| | | | | | | | | | | | | | | | Make gpu power management feature configurations as platform data. Keep existing sttaus for gk20a and disable all power features for gm20b. Bug 1523728 Change-Id: Ife7786863f18e21b882ac77085c7abc7c84d4cfc Signed-off-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-on: http://git-master/r/426369 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Supriya Sharatkumar <ssharatkumar@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: add APIs to allocate/free dummy secure bufferDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | Add APIs to allocate and free dummy secure buffer of size PAGE_SIZE. Also, fix small errors during secure memory alloc/free. Bug 1487804 Change-Id: If078116fb973e81bfcee054b900c09a313e389c6 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/421700 (cherry picked from commit 5391515dab27cc88b921cf81913085dea98197e0) Reviewed-on: http://git-master/r/419609 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: add is_railgated() callbackDeepak Nibade2015-03-18
| | | | | | | | | | | Add is_railgated() platform callback to check status of gk20a power rail Bug 1376916 Bug 1487804 Change-Id: Ia0d909210dc409ab684eb6f20528b81500aecd5c Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
* gpu: nvgpu: Separate gm20b configurationTerje Bergstrom2015-03-18
| | | | | | | | | | | Separate gm20b platform data from gk20a data. Change-Id: Ie90ebc9e06ba94dfe852dfe07c163cd00fd90a9c Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/396376 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Arto Merilainen <amerilainen@nvidia.com> Reviewed-by: Bo Yan <byan@nvidia.com>
* gpu: nvgpu: Register as subdomain of host1xTerje Bergstrom2015-03-18
| | | | | | | | | | | | | Add gk20a as a sub power domain of host1x. This enforces keeping host1x on when using gk20a. Bug 200003112 Change-Id: I08db595bc7b819d86d33fb98af0d8fb4de369463 Signed-off-by: Arto Merilainen <amerilainen@nvidia.com> Reviewed-on: http://git-master/r/407543 Reviewed-by: Riham Haidar <rhaidar@nvidia.com> Tested-by: Riham Haidar <rhaidar@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>
generated by cgit v1.2.2 (git 2.25.0) at 2024-07-07 16:18:56 -0400