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* gpu: nvgpu: Greatly simplify the semaphore detectionAlex Waterman2016-09-16
| | | | | | | | | | | | | | | | | | | | Greatly simplify and make more robust the gpu semaphore detection in sync_fences. Instead of using a magic number use the parent timeline of sync_pts. This will also work with multi-GPU setups using nvgpu since the timeline ops pointer will be the same across all instances of nvgpu. Bug 1732449 Reviewed-on: http://git-master/r/1203834 (cherry picked from commit 66eeb577eae5d10741fd15f3659e843c70792cd6) Change-Id: I4c6619d70b5531e2676e18d1330724e8f8b9bcb3 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1221042 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Optimize sync fence creationAlex Waterman2016-09-16
| | | | | | | | | | | | | | | Only create sync-fences in the semaphore synchronization path when they are actually needed (i.e requested by userspace). Bug 1795076 Reviewed-on: http://git-master/r/1201564 (cherry picked from commit dc52d424a839e6c064c02b7f02905dd6a59a50af) Change-Id: Ieac6aef415678d4ea982683a955897c64959436e Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1221041 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: add safety for vidmem addressesDeepak Nibade2016-09-15
| | | | | | | | | | | | | | | | | | | | | | | | | | Add new API set_vidmem_page_alloc() which sets BIT(0) in sg_dma_address() only for vidmem allocation Add and use new API get_vidmem_page_alloc() which receives scatterlist and returns pointer to vidmem allocation i.e. struct gk20a_page_alloc *alloc In this API, check if BIT(0) is set or not in sg_dma_address() before converting it to allocation address In gk20a_mm_smmu_vaddr_translate(), ensure that the address is pure IOVA address by verifying that BIT(0) is not set in that address Jira DNVGPU-22 Change-Id: Ib53ff4b63ac59a8d870bc01d0af59839c6143334 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1216142 (cherry picked from commit 03c9fbdaa40746dc43335cd8fbe9f97ef2ef50c9) Reviewed-on: http://git-master/r/1219705 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: move all instance blocks to vidmemDeepak Nibade2016-09-15
| | | | | | | | | | | | | | | | | | Use gk20a_gmmu_alloc() in gk20a_alloc_inst_block() so that we always try to allocate all inst blocks in vidmem first Also use common API gk20a_alloc_inst_block() in channel_gk20a_alloc_inst() as well Jira DNVGPU-22 Change-Id: I6c47c19aae1189d7e57f47a51d21a32e2df53c1f Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1216140 (cherry picked from commit 6c84961a50eb8a8b080b2db08f87e58143f5a6e8) Reviewed-on: http://git-master/r/1219704 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: select target based on apertureDeepak Nibade2016-09-15
| | | | | | | | | | | | | | | | | | | | While programming ucode's inst block in API gr_gk20a_load_falcon_bind_instblk(), use gk20a_aperture_mask() to select target address (i.e. if address is in sysmem or vidmem) based on aperture Also add target accessors for gr_fecs_new_ctx and gr_fecs_arb_ctx_ptr Jira DNVGPU-22 Change-Id: I88198080f188b349a4448a229dff8416a6a18073 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1216139 (cherry picked from commit 42bc14110df17400dd655bc994dc9e61c73048b1) Reviewed-on: http://git-master/r/1219703 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: fix inst block leak for vidmemKonsta Holtta2016-09-15
| | | | | | | | | | | | | | | Test for size, not cpu_va, to check for buffer validity before attempting to free. Jira DNVGPU-22 Change-Id: I416c0963bf4e1819aa2f8d200c69a2d989524f83 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1215575 (cherry picked from commit ce0077feca55bfb5665c82972598a075abd8f2a0) Reviewed-on: http://git-master/r/1219702 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: allocate channel inst blocks in vidmemKonsta Holtta2016-09-15
| | | | | | | | | | | | | | | | Use gk20a_gmmu_alloc() to allocate channel inst block which first tries to allocate in vidmem Jira DNVGPU-22 Change-Id: Ib4d92bf4d2bc0c3d53a82812d635fa8abca4340a Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1206274 (cherry picked from commit 0c81c8984c42df27d3520f800eb87728f67d4453) Reviewed-on: http://git-master/r/1219701 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: use get_base_addr() to get inst_block addressDeepak Nibade2016-09-15
| | | | | | | | | | | | | | | Since inst_block could reside either in sysmem or vidmem, use gk20a_mem_get_base_addr() to get it's base address Jira DNVGPU-22 Change-Id: Ic9b4370e0a88b585483e78ea81df0ec6ff799487 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1212702 (cherry picked from commit ecdffa7664f48dba0bcbd15b1340af5bf3b45802) Reviewed-on: http://git-master/r/1219700 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: fall back to sysmem for generic alloc-mapsKonsta Holtta2016-09-15
| | | | | | | | | | | | | | | | In gk20a_gmmu_alloc_map_attr(), which is used for in-kernel allocations combined with immediate gmmu map, fall back to attempting to allocate sysmem when vidmem allocation fails. Bug 1809939 Change-Id: I4ec4fbf93d41fd9681166b47b3ecad24b51ea274 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1216814 (cherry picked from commit a9929682f1f356f7e8a652a2cec8ed73cc492448) Reviewed-on: http://git-master/r/1217688 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: fall back to sysmem for generic allocsKonsta Holtta2016-09-15
| | | | | | | | | | | | | | | In gk20a_gmmu_alloc_attr(), which is used for in-kernel allocations, fall back to attempting to allocate sysmem when vidmem allocation fails. Bug 1809939 Change-Id: I0397026fd1b3bc803f6d8bb7409e05ab31ec961d Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1215447 (cherry picked from commit 3ec37992b830cee917e8ad35ede50e048907014a) Reviewed-on: http://git-master/r/1217687 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: When powering down, abort if not idleTerje Bergstrom2016-09-15
| | | | | | | | | | | | | | When trying to power down GPU the engine might be still busy. In this case delay power down by returning -EBUSY from gk20a_pm_runtime_suspend(). Bug 200224907 Change-Id: Ibad74c090add24a185bc1a7a02df367af9b95ced Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1213042 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: move gpfifo submit wait to userspaceAingara Paramakuru2016-09-15
| | | | | | | | | | | | | | | | | Instead of blocking for gpfifo space in the nvgpu driver, return -EAGAIN and allow userspace to decide the blocking policy. Bug 1795076 Change-Id: Ie091caa92aad3f68bc01a3456ad948e76883bc50 Signed-off-by: Aingara Paramakuru <aparamakuru@nvidia.com> Reviewed-on: http://git-master/r/1202591 (cherry picked from commit 8056f422c6a34a4239fc4993c40c2e517c932714) Reviewed-on: http://git-master/r/1203800 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: fix null access in page table allocationKonsta Holtta2016-09-14
| | | | | | | | | | | | | | | Check entry->mem.sgt for validity before attempting to dereference it in a debug print. Bug 1809939 Change-Id: If7aa7444c162a076d8f23a88dfd2e3e0a9c33813 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1215522 (cherry picked from commit 48c25cd4f1db9d5bb07847af4de29d8f369b52e3) Reviewed-on: http://git-master/r/1220547 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: fix chunk size mismatch in page allocatorKonsta Holtta2016-09-14
| | | | | | | | | | | | | | | | | | | When allocating discontiguous memory composed of several chunks, update also the number of pages used by the current chunk, if a large chunk was not available and a retry is performed with a smaller one. Failing to do this would result in too few chunks reserved for a large enough allocation in certain conditions. Bug 1805067 Change-Id: I9d14864724d228b42c47eb4669fbe0f789334397 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1214914 (cherry picked from commit 9bece931b13e4dad808622462d4d98d421cfb383) Reviewed-on: http://git-master/r/1220546 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: test free user vidmem atomicallyKonsta Holtta2016-09-14
| | | | | | | | | | | | | | | | | | | | | | | | | | | An empty list of soon-to-be-freed userspace vidmem buffers is not enough to safely assume that an allocation may succeed or not if tried again, because removal from the list and actually marking the memory freed is not atomic. Fix this by using an atomic counter for the number of pending frees (so that it's still safe to first remove from the job list and then perform the free), and making allocation attempts combined with a test of pending frees atomic. This still does not guarantee that there is memory available (as the actual amount of pending memory in bytes plus the current free amount isn't computed), but removes the race that produces false negatives in case a single program expects repeated frees and allocs to succeed. Bug 1809939 Change-Id: I6a92da2e21cbf3f886b727000c924d56f35ce55b Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1217078 (cherry picked from commit 83c1f1e70dccd92fdd4481132cf5b6717760d432) Reviewed-on: http://git-master/r/1220545 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: use spinlock for ch timeout lockAingara Paramakuru2016-09-13
| | | | | | | | | | | | | | | | The channel timeout lock guards a very small critical section. Use a spinlock instead of a mutex for performance. Bug 1795076 Change-Id: I94940f3fbe84ed539bcf1bc76ca6ae7a0ef2fe13 Signed-off-by: Aingara Paramakuru <aparamakuru@nvidia.com> Reviewed-on: http://git-master/r/1200803 (cherry picked from commit 4fa9e973da141067be145d9eba2ea74e96869dcd) Reviewed-on: http://git-master/r/1203799 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: fix pmu_copy_to_dmem spewDavid Nieto2016-09-12
| | | | | | | | | | | | | | | | | The error check was not taking account of the DMEM address wrap-around JIRA DNVGPU-34 Change-Id: Ibfed5532c3ee785b3061e6837f012939118a7ece Signed-off-by: David Nieto <dmartineznie@nvidia.com> Reviewed-on: http://git-master/r/1206460 (cherry picked from commit 080953c20f91068ccaaa564d9492a1582ffa28fe) Reviewed-on: http://git-master/r/1218297 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: Call init_cbc only when definedTerje Bergstrom2016-09-12
| | | | | | | | | | | | | Call init_cbc only when it contains a non-NULL pointer. Bug 1799537 Change-Id: Ic23f264e10daff30365bf3cf86ac9c155f50e497 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1208008 (cherry picked from commit ec69fa15c32f49d96939fd9a672faec45e078dfa) Reviewed-on: http://git-master/r/1217298 Reviewed-by: Automatic_Commit_Validation_User
* gpu: nvgpu: refactor pmu includeVijayakumar Subbu2016-09-08
| | | | | | | | | | | | | | | | | | | | | | | | | | split pmu include files to add lot more APIs pmu_api.h - all the current APIs used in igpu pmu_common.h - common defines for all APIs pmu_gk20a.h - SW defines specific needed for nvgpu like PMU version, PMU SW structure definition etc. Splitting APIs to separate files allows us to use auto generated PMU task headers from RM We have script which generates pmu interface herader files in linux format. It replaces RM with NV. Adding typedef in existing pmu code make auto generated files easy to compile/add JIRA DNVGPU-85 Change-Id: I851b88769fe8d60561a44754ddb7dde45b45959e Signed-off-by: Vijayakumar Subbu <vsubbu@nvidia.com> Reviewed-on: http://git-master/r/1192702 Reviewed-on: http://git-master/r/1203124 (cherry picked from commit 0fe5f020c3f934cf2cc5336f1b6c3bafaf9e0c2a) Reviewed-on: http://git-master/r/1217301 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Support mclk initializationTerje Bergstrom2016-09-08
| | | | | | | | | | | | | | Add ops for calling mclk initialization. JIRA DNVGPU-85 Change-Id: I2e9da80fdb014d916b40513d605c38711818d2f6 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1203975 (cherry picked from commit 9be482c4ece7ffc550ae19f133638c808b3a768f) Reviewed-on: http://git-master/r/1217300 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: get bios perf and clk table ptrMahantesh Kumbar2016-09-08
| | | | | | | | | | | | | | Implement support for reading perf and clk tables from VBIOS. JIRA DNVGPU-83 Change-Id: I095fea08479161362e4c2ffa7500ee6a57d6d447 Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com> Reviewed-on: http://git-master/r/1202602 (cherry picked from commit fb7c7356f131a198bd655a25fc6ff17067477e1b) Reviewed-on: http://git-master/r/1217299 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Skip calling undefined prod callbacksTerje Bergstrom2016-09-08
| | | | | | | | | | | | | | Fix rest of code to not call prod callbacks that are set to NULL. Bug 1799537 Change-Id: I756bb1f7ef58ba753ac43a2be6f125107be3cf34 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1209133 (cherry picked from commit 5f4d7b42b6101407fde8c4a7dcdd3633eca85ae5) Reviewed-on: http://git-master/r/1217297 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Allocate vidmem fds from 1024Terje Bergstrom2016-09-08
| | | | | | | | | | | | | | | | Allocate vidmem fds from 1024 onwards. This prevents us from using up the 0-1023 range which is tracked per process, and fits within FD_SETSIZE. Bug 200222681 Change-Id: I104b81f2831f1816ff66fc245fa63013d78001ec Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1199269 (cherry picked from commit 5d5cbaf6a63dd31538fa35081b70e103d8a658f4) Reviewed-on: http://git-master/r/1217294 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit
* gpu: nvgpu: Do not print error on unknown engineTerje Bergstrom2016-09-08
| | | | | | | | | | | | | | | Unknown engine is expected, as we do not support all dGPU engines. Remove the error spew. JIRA DNVGPU-26 Change-Id: I6f7897c6ead168f1d8100421d16d0540a7f7b542 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1206449 (cherry picked from commit 4cc610755df94065afd28a90c63aca8fff9685b1) Reviewed-on: http://git-master/r/1217292 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit
* gpu: nvgpu: vgpu: cyclestat snapshot supportPeter Daifuku2016-09-08
| | | | | | | | | | | | | Add support for cyclestats snapshots in the virtual case Bug 1700143 JIRA EVLR-278 Change-Id: I376a8804d57324f43eb16452d857a3b7bb0ecc90 Signed-off-by: Peter Daifuku <pdaifuku@nvidia.com> Reviewed-on: http://git-master/r/1211547 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: unify nvgpu and pci probeDeepak Nibade2016-09-08
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | We have completely different versions of probe for nvgpu and pci device Extract out common steps into nvgpu_probe() function and separate it out in new file nvgpu_common.c Divide task of nvgpu_probe() into further smaller functions Do platform specific things (like irq handling, memresource management, power management) only in individual probes and then call nvgpu_probe() to complete the common initialization Move all debugfs initialization to common gk20a_debug_init() This also helps to bringup all debug nodes to pci device Pass debugfs_symlink name as a parameter to gk20a_debug_init() This allows us to set separate debugfs symlink for nvgpu and pci device In case of railgating, cde and ce debugfs, check if platform supports them or not Copy vidmem_is_vidmem from platform to mm structure and set it to true for pci device Return from gk20a_scale_init() if we don't have either of governor or qos_notifier Fix gk20a_alloc_debugfs_init() and gk20a_secure_page_alloc() to receive device pointer instead of platform_device Export gk20a_railgating_debugfs_init() so that we can call it from gk20a_debug_init() Jira DNVGPU-56 Jira DNVGPU-58 Change-Id: I3cc048082b0a1e57415a9fb8bfb9eec0f0a280cd Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1204207 (cherry picked from commit add6bb0a3d5bd98131bbe6f62d4358d4d722b0fe) Reviewed-on: http://git-master/r/1204462 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: remove blocking wait for vidmem allocationDeepak Nibade2016-09-08
| | | | | | | | | | | | | | | | | | | | | | We have blocking 1sec wait for vidmem allocation Remove this blocking wait and just return proper error code to the caller In case we have some buffers to be cleaned up in the list (clear_list_head), return EAGAIN so that caller can retry Otherwise return ENOMEM indicating that no memory is available right now Jira DNVGPU-84 Change-Id: Ife2b17c989fc80e568f03bb18ad75b93a25be962 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1204969 (cherry picked from commit 2bacdf0bc6d5b1cdcb8be37e574ca5f4f0663cae) Reviewed-on: http://git-master/r/1213451 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: use vidmem for gr ctx if availableKonsta Holtta2016-09-08
| | | | | | | | | | | | | | | | Use the common gk20a_gmmu_alloc() that tries vidmem too. Jira DNVGPU-24 Change-Id: I5dfd7eaab737a5290b4d21ac575d6b89777a567e Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1209077 (cherry picked from commit e3085d37735c8f1cf4845621f29fe9d2689aad4b) Reviewed-on: http://git-master/r/1184330 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Tested-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: fix non-contiguous pramin accessDeepak Nibade2016-09-08
| | | | | | | | | | | | | | | | | | | | | | | | | | In pramin_access_batched(), in each iteration of the loop we first decide size of data that we should write in that iteration. In case this size is equal to length of the chunk, we need to move to use next chunk for subsequent iteration But since we change offset variable before we check above, we end up using same chunk in next iteration Fix this by correcting the sequnce to first check if we should move to next chunk and then only adjust the offset variable Jira DNVGPU-24 Change-Id: I58c2e24678f4c6dfbe33bf111edd06788629eca8 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1210892 (cherry picked from commit 83cc179199692d28a93b3b884c9bc094ff513298) Reviewed-on: http://git-master/r/1213450 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: suppress unbind operationSri Krishna chowdary2016-09-02
| | | | | | | | | | | | | | | | Unbind on nvgpu results in kernel panic. Suppress it to avoid kernel panic. Proper fix should follow later on. bug 1779085 Change-Id: Ibc966ac031f7f04406db63310e2f5ea126649ac0 Signed-off-by: Sri Krishna chowdary <schowdary@nvidia.com> Reviewed-on: http://git-master/r/1212759 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
* gpu: nvgpu: fix compilation errors for 32 bit archDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | Converting return value of sg_dma_address() (which is u64) into a pointer results in compilation failure on 32 bit machines Hence convert address first into uintptr_t and then into pointer Change-Id: I8e036af8f4c936b88883cf8af1491f03025ed356 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1211243 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: enable big page support for pciDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | | | | | | | | While mapping the buffer, first check if buffer is in vidmem, and if yes convert allocation into base address And then walk through each chunk to decide the alignment Add new API gk20a_mm_get_align() which returns the alignment based on scatterlist and aperture, and use this API to get alignment during mapping Enable big page support for pci by unsetting disable_bigpage Jira DNVGPU-97 Change-Id: I358dc98fac8103fdf9d2bde758e61b363fea9ae9 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1207673 (cherry picked from commit d14d42290eed4aa7a2dd2be25e8e996917a58e82) Reviewed-on: http://git-master/r/1210959 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: make default vidmem page size of 64kDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | | Allocate 64k pages for vidmem by default Also make sure that base address of vidmem is aligned to page size Jira DNVGPU-20 Change-Id: Ie2e5111f942467754db5b45f1518d72c925d3d19 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1206405 (cherry picked from commit 542ebf7f571ba6dc631466e562f7d8e05df4a9a6) Reviewed-on: http://git-master/r/1210958 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: use vidmem for page tables if availableKonsta Holtta2016-09-01
| | | | | | | | | | | | | | | Use the common gk20a_gmmu_alloc() that tries vidmem too. Jira DNVGPU-20 Change-Id: I4ea02bc4962d299c6f71444048d4a2a22bd80f55 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1206404 (cherry picked from commit 7297727cce8c5c7b26f82afe98cc5428135b4777) Reviewed-on: http://git-master/r/1178831 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: add new API to get base address for sysmem/vidmem buffersDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | | | | | | | | | Add new API gk20a_mem_get_base_addr() which will return vidmem base address in case of vidmem and IOVA address in case of sysmem Even though vidmem allocations are non-contiguous, this API is useful (and should only be used) for allocations with one chunk (e.g. page tables) Also, since page tables could either reside in sysmem or vidmem, use this API to get address of page tables Jira DNVGPU-20 Change-Id: Ie04af9ca7bfccfec1a8a8e4be2c507cef5cef8e1 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1206403 (cherry picked from commit a8c74dc188878f2948fa1e0e47bf1837fba6c5e0) Reviewed-on: http://git-master/r/1210957 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: allocate blob space earlyDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | | | | | | Allocting blob space for pmu might need fixed address allocation in vidmem and during boot up But if some page tables are allocated before blob space, blob space allocation could fail Fix this by allocating blob space early during boot up Jira DNVGPU-20 Change-Id: I30eca1023c8f8f8be101bb7e160ba57a7040911a Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1206402 (cherry picked from commit fad4309ce345ed3879f497bda27f2eceb1084dbb) Reviewed-on: http://git-master/r/1210956 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Add proper timeout handling for vidmem clear operationsLakshmanan M2016-09-01
| | | | | | | | | | | | | | | | gk20a_fence_wait() api may be interrupted by a signal before actual its timeout elapsed. This CL does retry (-ERESTARTSYS) mechanism if gk20a_fence_wait() return before its timeout elapsed. Bug 200230544 Change-Id: I347ed2004935a8b9413f95dcb6fca2b74bf49f2a Signed-off-by: Lakshmanan M <lm@nvidia.com> Reviewed-on: http://git-master/r/1206265 (cherry picked from commit d3ef533942487785d84d109f985ae648eb3c2434) Reviewed-on: http://git-master/r/1210955 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: use vidmem for gpfifos if availableKonsta Holtta2016-09-01
| | | | | | | | | | | | | | | Use the common gk20a_gmmu_alloc() that tries vidmem too. Jira DNVGPU-21 Change-Id: Ie22cb0f5ed70ec71567fc85d348b3526c9a32b02 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1204304 (cherry picked from commit 07cb99baeb10194c520addd77517841a6f99df93) Reviewed-on: http://git-master/r/1169310 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: support pramin access for non-contiguous vidmemDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | | | | | | | | | API pramin_access_batched() currenly only supports contiguous allocations. Modify this API to support non-contiguous allocations from page allocator as well Update gk20a_mem_wr32() and gk20a_mem_rd32()to reuse pramin_access_batched() Use gk20a_memset() in gk20a_gmmu_free_attr_vid() to clear vidmem pages for kernel buffers Jira DNVGPU-30 Change-Id: I43630912f4837d8ebc6b9c58f4f427218ef9725b Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1204303 (cherry picked from commit 2f84f141d02fd2f641cb18a48896fb3ae5f7e51f) Reviewed-on: http://git-master/r/1210954 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: track allocator and user for each memDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | | | | | | | | | | | Store allocator pointer for each mem_desc This pointer should be used while freeing the mem instead of assuming a common allocator Add flag user_mem to mem_desc which will be set only in case of User vidmem allocations We will delay free of mem in worker only if this flag is set on mem. Otherwise, we will free it immediately This is needed so that all kernel allocations can work with both sysmem and vidmem Jira DNVGPU-84 Change-Id: Ib9a9209b164bc56b7880448f86bd6d42b324cc86 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1203099 (cherry picked from commit 8f0b0122f36a0b6f1932fa9a98d7eb03b1f623d1) Reviewed-on: http://git-master/r/1210953 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: fix memory leak in case of failureDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | | | | | | In __gk20a_alloc_pages(), if we fail to allocate a chunk we free previously allocated chunks in error path But we do not free up the memory reserved in those chunks which could lead to OOM situations Fix this by calling gk20a_free() for each chunk in error path Jira DNVGPU-96 Change-Id: I68aa18d68a5282405016e688c790ccbc0c2a0d69 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1203098 (cherry picked from commit f096bd1675600f4e2fc2d686f2911bb945fbbf0b) Reviewed-on: http://git-master/r/1210952 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: disable sync_fence for CE jobsDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | | We do not need sync_fence for CE jobs submitted in gk20a_ce_execute_ops() since all the waiters of fence are in kernel space only Jira DNVGPU-84 Change-Id: Idad6c40abcefb86e60a5327bbbff6827b1ca33cc Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1201347 (cherry picked from commit e294b2d37cf79182bb9a255adb188eb6afa47c27) Reviewed-on: http://git-master/r/1210951 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: clear vidmem buffers in workerDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | We clear buffers allocated in vidmem in buffer free path. But to clear buffers, we need to submit CE jobs and this could cause issues/races if free called from critical path Hence solve this by moving buffer clear/free to a worker gk20a_gmmu_free_attr_vid() will now just put mem_desc into a list and schedule a worker And worker thread will traverse the list and clear/free the allocations In struct gk20a_vidmem_buf, mem variable is statically allocated. But since we delay free of mem, convert this variable into a pointer and allocate it dynamically Since we delay free of vidmem memory, it is now possible to face OOM conditions during allocations. Hence while allocating block until we have sufficient memory available with an upper limit of 1S Jira DNVGPU-84 Change-Id: I7925590644afae50b6fc04c6e1e43bbaa1c220fd Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1201346 (cherry picked from commit b4dec4a30de2431369d677acca00e420f8e581a5) Reviewed-on: http://git-master/r/1210950 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: clear whole vidmem on first allocationDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | We currently clear vidmem pages in gk20a_gmmu_alloc_attr_vid_at() i.e. allocation path for each buffer But since buffer allocation path could be latency critical, clear whole vidmem first and before first User allcation in gk20a_vidmem_buf_alloc() And then clear buffer pages while releasing the buffer In this way, we can ensure that vidmem pages are already cleared during buffer allocation path At a later stage, clearing of pages can be removed from free path and moved to a separate worker as well At this point, first allocation has overhead of clearing whole vidmem which takes about 380mS and this should improve once clocks are raised. Also, this is one time larency, and subsequent allocations should not have any overhead for clearing at all Add API gk20a_vidmem_clear_all() to clear whole vidmem We have WPR buffers allocated during boot up and at fixed address in vidmem. To prevent overwriting to these buffers in gk20a_vidmem_clear_all(), clear whole vidmem except for the bootstrap allocator carveout Add new API gk20a_gmmu_clear_vidmem_mem() to clear one mem_desc Jira DNVGPU-84 Change-Id: I5661700585c6241a6a1ddeb5b7c068d3d2aed4b3 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1194301 (cherry picked from commit 950ab61a04290ea405968d8b0d03e3bd044ce83d) Reviewed-on: http://git-master/r/1193158 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Add a bootstrap vidmem allocatorAlex Waterman2016-09-01
| | | | | | | | | | | | | | | | Add an allocator for allocating vidmem before the CE has had a chance to be initialized (and clear the rest of vidmem). Jira DNVGPU-84 Change-Id: I5166607a712b3a6eb4c2906b8c7d002c68a6567b Signed-off-by: Alex Waterman <alexw@nvidia.com> Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1197204 (cherry picked from commit b4e68e84eedd952637b2332d8dc73a9090d6d62e) Reviewed-on: http://git-master/r/1210949 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: support GMMU mappings for vidmem page allocatorDeepak Nibade2016-09-01
| | | | | | | | | | | | | | | | | | | | | | | | | | | Switch to use page allocator for vidmem Support GMMU mappings for page (non-contiguous page allocator) in update_gmmu_ptes_locked() If aperture is VIDMEM, traverse each chunk in an allocation and map it to GPU VA separately Fix CE page clearing to support page allocator Fix gk20a_pramin_enter() to get base address from new allocator Define API gk20a_mem_get_vidmem_addr() to get base address of allocation. Note that this API should not be used if we have more than 1 chunk Jira DNVGPU-96 Change-Id: I725422f3538aeb477ca4220ba57ef8b3c53db703 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1199177 (cherry picked from commit 1afae6ee6529ab88cedd5bcbe458fbdc0d4b1fd8) Reviewed-on: http://git-master/r/1197647 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: send only one event to the debuggerCory Perry2016-09-01
| | | | | | | | | | | | | | | | | | | | | | Event notifications on TSGs should only be sent to the channel that caused the event to happen in the first place, not evey channel in the tsg. Any more and the debugger will not be able to tell what channel actually got the event. Worse yet, if all the channels in a tsg are bound to the same debug session (as is the case with cuda-gdb), then multiple nvgpu events for the same gpu event will be triggered, causing events to be buffered and the client to get out of sync. One gpu exception, one nvgpu event per tsg. Bug 1793988 Signed-off-by: Cory Perry <cperry@nvidia.com> Change-Id: I4efb83b0593bd1af38f2342c80793d9db56e42b1 Reviewed-on: http://git-master/r/1194203 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Fix error handling of __semaphore_bitmap_alloc()Alex Waterman2016-08-31
| | | | | | | | | | | | | | | The return from __semaphore_bitmap_alloc() is an int for which a negative value indicates a failure. That return value was being directly cast to an unsigned int before being checked for a negative error code. This obviously isn't a good idea. Coverity ID 38754 Change-Id: I50c0478e5504988b059e69b929e9c2e465df7cc0 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1210317 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Fix possible overflow in buddy allocatorAlex Waterman2016-08-31
| | | | | | | | | | | | | | | Fix a possible overflow in the buddy allocator's initialization code. In practice it should never happen that pde size is greater than 32bits but this makes coverity happy. Coverity ID 54964 Change-Id: I886fd962bb3e9e328f7305bdcf69827979a39a21 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1210316 GVS: Gerrit_Virtual_Submit Reviewed-by: Sachit Kadle <skadle@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: gk20a: Use spin_lock for jobs_lockBharat Nihalani2016-08-31
| | | | | | | | | | | | | | | | | | | | This is done to boost performance of the GPU submit time, which is critical for compute use-cases. Bug 200215465 Bug 1804898 Conflicts: drivers/gpu/nvgpu/gk20a/channel_gk20a.c Change-Id: Ic4884ee4eac910b92b84a47fdc1b2e9f26b2f1f0 Signed-off-by: Bharat Nihalani <bnihalani@nvidia.com> Reviewed-on: http://git-master/r/1199860 Reviewed-on: http://git-master/r/1209834 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
generated by cgit v1.2.2 (git 2.25.0) at 2024-07-17 00:47:00 -0400