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path: root/drivers/gpu/nvgpu/gk20a/gk20a.c
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* gpu: nvgpu: remove gk20a_handleDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | | | | | Remove static variable gk20a_handle used to store pointer to struct gk20a Use below device tree APIs to get pointer to platform_device and then struct gk20a device_node = of_find_matching_node() platform_device = of_find_device_by_node(device_node) Also, use two versions of do_idle()/do_unidle() APIs - one will receive void (to be used from outside GPU driver) and another will receive platform_device (to be used within GPU driver where it is available) Change-Id: I9f2c7610646c5fbcd3d99a1b03dc0364201272a8 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/496508 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: Ken Adams <kadams@nvidia.com> GVS: Gerrit_Virtual_Submit
* gpu: nvgpu: gm20b: Regenerate clock gating listsTerje Bergstrom2015-03-18
| | | | | | | | | | Regenerate clock gating lists. Add new blocks, and takes them into use. Also moves some clock gating settings to be applied at the earliest possible moment right after reset. Change-Id: I21888186c200f7a477c63bd3332e8ed578f63741 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/457698
* gpu: nvgpu: remove hard coded GPU nameDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | In gk20a_do_idle(), to get pointer to platform_device of gk20a, we use bus_find_device_by_name() and pass "gk20a.0" to it But this hard coding fails on gm20b since GPU device name there is "gpu" Hence to fix this add a static pointer handle "gk20a_handle" to struct gk20a in gk20a.c Now we can access this global pointer inside do_idle() to get gk20a pointer and from that we can get pointer to platform_device Change-Id: I1a65588e34ad36efed0fa587bb365f0ee81e253d Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/486887 Reviewed-by: Automatic_Commit_Validation_User 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: 3d.emc bandwidth ratio policySamuel Russell2015-03-18
| | | | | | | | | | | | | Modify the 3d.emc policy to use a formula based on bandwidth and utilization instead of the current sku-dependent policy. Bug 1364894 Change-Id: Id97f765a48f0aa9f5ebeb0c82bccb22db474a1ae Signed-off-by: Samuel Russell <samuelr@nvidia.com> Reviewed-on: http://git-master/r/453586 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Add boost once GPU is initializedTerje Bergstrom2015-03-18
| | | | | | | | | | | Workaround for GPU hang if boost turns GPU on before it is initialized. Bug 1435870 Change-Id: I07d0617049612344ca7c494da8cb8d75789984e5 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/453375
* gpu: nvgpu: Add compression state IOCTLsLauri Peltonen2015-03-18
| | | | | | | Bug 1409151 Change-Id: I29a325d7c2b481764fc82d945795d50bcb841961 Signed-off-by: Lauri Peltonen <lpeltonen@nvidia.com>
* gpu: nvgpu: CDE supportArto Merilainen2015-03-18
| | | | | | | | | | | | | | This patch adds support for executing a precompiled GPU program to allow exporting GPU buffers to other graphics units that have color decompression engine (CDE) support. Bug 1409151 Change-Id: Id0c930923f2449b85a6555de71d7ec93eed238ae Signed-off-by: Arto Merilainen <amerilainen@nvidia.com> Reviewed-on: http://git-master/r/360418 Reviewed-by: Lauri Peltonen <lpeltonen@nvidia.com> Reviewed-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: 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: flush write before unlockingSang-Hun Lee2015-03-18
| | | | | | | | | | | | | | | | | | | - gk20a_enable is reading the clock after unlocking the spinlock to flush any previous write - This could lead to a race if any write afterwards assume the write has been completed already - Read the clock before unlocking to ensure all previous writes have been completed before letting any other thread use gk20a Bug 200007520 Change-Id: I737fbbe825c68b25ca256c4a8ee2b99aa8baf0f5 Signed-off-by: Sang-Hun Lee <sanlee@nvidia.com> Reviewed-on: http://git-master/r/418485 (cherry picked from commit 2aed542a719caa69620766bf2dceefe50626c189) Reviewed-on: http://git-master/r/437842 Reviewed-by: Mitch Luban <mluban@nvidia.com> Tested-by: Mitch Luban <mluban@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: force idle if railgate not supportedDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | | | | Add a way to force idle and reset the GPU in case where GPU rail gating is not supported (i.e. platform->can_railgate = false) In this case, we follow below sequence : - once GPU is idle, get runtime reference which enables the clocks - call prepare_poweroff() to save the state explicitly - perform explicit reset assert/deassert - call finalize_poweron() to restore the state - drop the runtime reference taken earlier Bug 1525284 Change-Id: Id5f3ec152093acd585631dfbf785d8e0561f9048 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/435620 GVS: Gerrit_Virtual_Submit Reviewed-by: Arto Merilainen <amerilainen@nvidia.com> Tested-by: Arto Merilainen <amerilainen@nvidia.com>
* gpu: nvgpu: increase delays in do_idle()Deepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Increase the wait delays in do_idle() to 2000 mS and make use of msleep instead of mdelays Also, to check if GPU is rail gated or not, add a do-while() loop which will keep checking the status and bail out as soon as GPU is rail gated This increase in delays is required to allow GPU sufficient time to complete its work and get rail gated These delays are specially needed during stress testing where it is possible that a large amount of GPU work is blocked during do_idle() and then it might take more time to complete it while next do_idle() is waiting for it Also, remove waiting on API gk20a_wait_channel_idle() for each channels since it is sufficient to wait for refcount to be 1 bug 1529160 Change-Id: Ie541485fbdda76d79ae4a75dda928da240fc5d8f Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/434192 (cherry picked from commit 5a621bf2aaf3355e1330a662dc98e943d68ef86d) Reviewed-on: http://git-master/r/435133 Reviewed-by: Arto Merilainen <amerilainen@nvidia.com> Reviewed-by: Sachin Nikam <snikam@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: Support probing host1x link from appsArto Merilainen2015-03-18
| | | | | | | | | | | This patch adds support to check if the host1x link exists and is supported using the gpu characteristics ioctl. Bug 1459653 Change-Id: I832eea217ed7f007e341dfde5769887e0882d6bb Signed-off-by: Arto Merilainen <amerilainen@nvidia.com> Reviewed-on: http://git-master/r/433058
* gpu:nvgpu:sysfs node to update aelpg parameterMahantesh Kumbar2015-03-18
| | | | | | | | | | | | | | | | Added sysfs node to update aelpg parameter. Pass parameter as below sequence, SAMPLING_PERIOD_PG_DEFAULT_US, MINIMUM_IDLE_FILTER_DEFAULT_US, MINIMUM_TARGET_SAVING_DEFAULT_US, POWER_BREAKEVEN_DEFAULT_US, CYCLES_PER_SAMPLE_MAX_DEFAULT Bug 1464737 Change-Id: I46873c463820f30f190c722d7ed038622cb2710f Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com> Reviewed-on: http://git-master/r/422702 Reviewed-by: Bharat Nihalani <bnihalani@nvidia.com> Tested-by: Bharat Nihalani <bnihalani@nvidia.com>
* gpu: nvgpu: Remove GPU MMIO access on power/rail gateAlex Waterman2015-03-18
| | | | | | | | | | | | This is to weed out accesses to the GPU while it is gated. Otherwise the accesses are silently dropped or cause a HW hang (on older chips). Bug 1514949 Change-Id: Ice4cdb9f1f736978ebb3db847f39c7439bf98134 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/416339 Reviewed-by: Mitch Luban <mluban@nvidia.com>
* gpu: nvgpu: Boot FECS to secure modeTerje Bergstrom2015-03-18
| | | | | | | | | | Boot FECS to secure mode if ACR is enabled. Bug 200006956 Change-Id: Ifc107704a6456af837b7f6c513c04d152b2f4d3a Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/424251
* gpu: nvgpu: Separate PMU firmware load from initTerje Bergstrom2015-03-18
| | | | | | | | | | | | | Separate the code to load PMU firmware from the software init. This allows folding ACR and non-ACR PMU software initialization sequences. Bug 200006956 Change-Id: I74b289747852167e8ebf1be63036c790ae634da4 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/424768 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit
* 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: add kernel APIs for TSG supportDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | Add support to create/destroy TSGs using node "/dev/nvhost-tsg-gpu" Provide below IOCTLs to bind/unbind channels to/from TSGs : NVGPU_TSG_IOCTL_BIND_CHANNEL NVGPU_TSG_IOCTL_UNBIND_CHANNEL Bug 1470692 Change-Id: Iaf9f16a522379eb943906624548f8d28fc6d4486 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/416610
* 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: bail out from poweroff if channel suspend failsDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | | During gk20a_pm_prepare_poweroff(), if call to gk20a_channel_suspend() fails, we proceed to disable other components and then return error. But when genpd sees the error, it will abort the suspend sequence and keep the device state as active. But since we have already disabled all the components, GPU lands in invalid state. Hence, if channel_suspend() fails then do not proceed but return the error immediately Bug 200010416 Change-Id: I553a2a25832a1be4941bb6b6ce490c950cdbe7fa Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/422248 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: remove unused vpr refetch functionsDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | VPR resize is done by forcing GPU to idle and then updating VPR size from TLK. There is no need now to call vpr_resize funtion from kernel and hence these functions can be removed. Bug 1487804 Change-Id: I758a6e0a99a58757866f1138b0a89594e2a33908 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/421703 (cherry picked from commit 391d9bacf053fe0dacffc76c36768f82912ad1f4) Reviewed-on: http://git-master/r/419612 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: allocate secure buffer in probeDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | Allocate dummy secure buffer of size PAGE_SIZE during gk20a_probe(). This will also help to initiate first secure memory (VPR) resize call while GPU is rail gated and in reset. This dummy buffer is released after we allocate some more secure memory buffers in alloc_global_ctx_buffers() Bug 1487804 Change-Id: I61604d9e5ffb585801ee893435c98a0d3e69d666 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/421701 (cherry picked from commit 4236ab3323ee3c02fac562740d8b80d763589dea) Reviewed-on: http://git-master/r/419610 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: fix compilation issues with PM disableSeshendra Gadagottu2015-03-18
| | | | | | | | | | | Fix gpu driver compilation issues with power mangement and runtime power management disable. Change-Id: I8e1873871d6f184013b2142dd0cbc32c67774177 Signed-off-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-on: http://git-master/r/417925 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Turn on scaling when poweredAllen Yu2015-03-18
| | | | | | | | | | | | | | This patch reorders scaling resume to happen always when we power on the GPU, so as to balance the scaling suspend when we power off GPU. bug 200010911 Change-Id: I9fde817fbf9fed7d90c48ea06050db4b82e670a8 Signed-off-by: Allen Yu <alleny@nvidia.com> Reviewed-on: http://git-master/r/421541 GVS: Gerrit_Virtual_Submit Reviewed-by: Bharat Nihalani <bnihalani@nvidia.com>
* gpu: nvgpu: Add rail gating trace eventsTerje Bergstrom2015-03-18
| | | | | | | Change-Id: I661f14b2858fb7bc993157a597d4a278859da837 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/418789 Reviewed-by: Automatic_Commit_Validation_User
* gpu: nvgpu: Rewrite PMU boot-up sequenceTerje Bergstrom2015-03-18
| | | | | | | | | | | | | Rewrite PMU boot sequence as a state machine. At PMU power-up send initial messages, and reset state machine. At each reply from PMU, do the next stage of PMU boot and set state. As now PMU and FECS boot are independent, we need to ensure engine idle before saving ZBC. Change-Id: I1ea747ab794ef08f1784eeabfdae7655d585ff21 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/410205
* gpu: nvgpu: Create trace events lastDan Willemsen2015-03-18
| | | | | | | Otherwise other trace event headers included may also be created, which leads to duplicate definition issues in the 3.14 kernel. Signed-off-by: Dan Willemsen <dwillemsen@nvidia.com>
* gpu: nvgpu: add railgate check in do_idle()Deepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | In gk20a_do_idle(), check gk20a rail status before returning. If rail is off, then only return success otherwise return failure Bug 1376916 Bug 1487804 Change-Id: I6280bf06c686b8baa4d6f49e90f47148411c3e02 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/415281 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Shridhar Rasal <srasal@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: gk20a: add do_{idle()/unidle()} APIsDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | Add below two new APIs for gk20a : 1) gk20a_do_idle() this API will force GPU to idle and railgate 2) gk20a_do_unidle() this API will unblock all the tasks blocked by do_idle() Bug 1487804 Change-Id: Ic5e7f2d19fb8d35f43666d0e309dde3022349d92 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/412061 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: gk20a: add busy lockDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | - add rw_semaphore busy_lock for gpu busy() path - take read lock on busy_lock inside gk20a_busy() so that all usual requests can execute simultaneously - write lock can be taken when we need to block all of the gk20a_busy() calls Bug 1487804 Change-Id: I1b162b38bce9621723d3e45280c6076816cf771a Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/412060 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@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/407006 (cherry picked from commit 009812b3e510518740e9c7e89b8b8b80439fe26a) Reviewed-on: http://git-master/r/408013 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: halize ltc isrKevin Huang2015-03-18
| | | | | | | | | | Bug 1507804 Change-Id: I3cca0e83dbf911c94422f8bb0b2df675a170b990 Signed-off-by: Kevin Huang <kevinh@nvidia.com> Reviewed-on: http://git-master/r/403213 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* Revert "gpu: nvgpu: Keep host1x on when GPU on"Matt Pedro2015-03-18
| | | | | | | | | | | This reverts commit 20d48a759b032116e3092e1df76518065da59879. Change-Id: I93718a314b70ee9284a83ca69964883e670ad78d Signed-off-by: Matt Pedro <mapedro@nvidia.com> Reviewed-on: http://git-master/r/407969 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Do not clear PMU state on rail gateTerje Bergstrom2015-03-18
| | | | | | | | | When rail gating, we cleared all PMU status. Clear only the relevant fields. Change-Id: I5b4e8d74339aae6f1c6b945f45b8378bb563e8be Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/406843
* gpu: nvgpu: Keep host1x on when GPU onTerje Bergstrom2015-03-18
| | | | | | | | | Remove the path for turning on only gk20a. Always when turning on hardware, turn both host1x and GPU on. Change-Id: I5f972a487d3348bf2254bdb0fadb42ca600a559e Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/406405
* gpu: nvgpu: Fall-back to generic platformArto Merilainen2015-03-18
| | | | | | | | | | | | | | | | | Currently the generic platform is used only if the device tree defines that we have a generic platform available, however, the generic platform is fully compatible with the gk20a we have in tegra. This patch modifies the definitions so that we use generic platform also for tegra - even if if tegra configuration option is not enabled. Bug 1434573 Change-Id: Ib35ce0ab935d27764e960bf4d74a5016ae047a1f Signed-off-by: Arto Merilainen <amerilainen@nvidia.com> Reviewed-on: http://git-master/r/396867 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Disable timeout if not on siliconTerje Bergstrom2015-03-18
| | | | | | | | Change-Id: I0add505d4f5c4b136f9f0228adbdc9aba960fcba Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/404276 Reviewed-by: Antoine Chauveau <achauveau@nvidia.com> Reviewed-by: Automatic_Commit_Validation_User
* 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: Call railgate only if definedTerje Bergstrom2015-03-18
| | | | | | | | | | | Call railgate and unrailgate ops only if they are defined. Change-Id: I0a87ac0259af3719098d4372be7e25f0a54416fc Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/396375 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Arto Merilainen <amerilainen@nvidia.com> Reviewed-by: Bo Yan <byan@nvidia.com>
* video: tegra: host: gk20a: Remove duplicated codeTerje Bergstrom2015-03-18
| | | | | | | | | | Two calls to gk20a_init_gpu_characteristics() is not needed. GPU sim aperture was defined twice. Change-Id: Iaf78611717c55b1cae456358fcae2641ad552d9f Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/383855 Reviewed-by: Automatic_Commit_Validation_User
* video: tegra: host: gm20b: Re-enable gm20b driverTerje Bergstrom2015-03-18
| | | | | | | Change-Id: I473d7ac712afc10bc255d57d441965556fa0e957 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/383840 Reviewed-by: Automatic_Commit_Validation_User
* video: tegra: host: gm20b: Implement gr opsTerje Bergstrom2015-03-18
| | | | | | | | | | | Implement gm20b specific gr ops. Bug 1387211 Change-Id: I4523311f1c155ba2d3403dcf222769f6817b2450 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/362415 Reviewed-by: Kevin Huang (Eng-SW) <kevinh@nvidia.com>
* video: tegra: host: t210: Fix opsPrashant Gaikwad2015-03-18
| | | | | | | | | Change-Id: I99deddd7323f9ee7f8de4a032296ceeaebd81a95 Signed-off-by: Prashant Gaikwad <pgaikwad@nvidia.com> Reviewed-on: http://git-master/r/375310 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: Bo Yan <byan@nvidia.com>
* video: tegra: host: Read GPU arch earlyTerje Bergstrom2015-03-18
| | | | | | | | | | | | Read GPU architecture and implementation early. Bug 1387211 Change-Id: Iffc1aa013f28ec786b0325ae055d016cf004ee06 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/360237 (cherry picked from commit b7071920b90ff1b21a5d14039e609a95ba48bd64) Reviewed-on: http://git-master/r/359754
generated by cgit v1.2.2 (git 2.25.0) at 2024-08-22 04:36:58 -0400