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* gpu: nvgpu: Support multiple types of allocatorsAlex Waterman2016-07-19
| | | | | | | | | | | | | | | | | | | | | | Support multiple types of allocation backends. Currently there is only one allocator implementation available: a buddy allocator. Buddy allocators have certain limitations though. For one the allocator requires metadata to be allocated from the kernel's system memory. This causes a given buddy allocation to potentially sleep on a kmalloc() call. This patch has been created so that a new backend can be created which will avoid any dynamic system memory management routines from being called. Bug 1781897 Change-Id: I98d6c8402c049942f13fee69c6901a166f177f65 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1172115 GVS: Gerrit_Virtual_Submit Reviewed-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-by: Yu-Huan Hsu <yhsu@nvidia.com>
* gpu: nvgpu: split address space for fixed allocsAlex Waterman2016-03-25
| | | | | | | | | | | | | | | | | | | | | | Allow a special address space node to be split out from the user adress space or fixed allocations. A debugfs node, /d/<gpu>/separate_fixed_allocs Controls this feature. To enable it: # echo <SPLIT_ADDR> > /d/<gpu>/separate_fixed_allocs Where <SPLIT_ADDR> is the address to do the split on in the GVA address range. This will cause the split to be made in all subsequent address space ranges that get created until it is turned off. To turn this off just echo 0x0 into the same debugfs node. Change-Id: I21a3f051c635a90a6bfa8deae53a54db400876f9 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1030303 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: User-space managed address space supportSami Kiminki2015-11-18
| | | | | | | | | | | | | | | | | | | | | | | | | | Implement NVGPU_GPU_IOCTL_ALLOC_AS_FLAGS_USERSPACE_MANAGED, which enables creating userspace-managed GPU address spaces. When an address space is marked as userspace-managed, the following changes are in effect: - Only fixed-address mappings are allowed. - VA space allocation for fixed-address mappings is not required, except to mark space as sparse. - Maps and unmaps are always immediate. In particular, the mapping ref increments at kickoffs and decrements at job completion are skipped. Bug 1614735 Bug 1623949 Bug 1660392 Change-Id: I834fe19b3f65e9b02c268952383eddee0e465759 Signed-off-by: Sami Kiminki <skiminki@nvidia.com> Reviewed-on: http://git-master/r/738558 Reviewed-on: http://git-master/r/833253 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Separate kernel and user GPU VA regionsSami Kiminki2015-09-07
| | | | | | | | | | | | | | | | | Separate the kernel and userspace regions in the GPU virtual address space. Do this by reserving the last part of the GPU VA aperture for the kernel, and extend GPU VA aperture accordingly for regular address spaces. This prevents the kernel polluting the userspace-visible GPU VA regions, and thus, makes the success of fixed-address mapping more predictable. Bug 200077571 Change-Id: I63f0e73d4c815a4a9fa4a9ce568709974690ef0f Signed-off-by: Sami Kiminki <skiminki@nvidia.com> Reviewed-on: http://git-master/r/747191 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Initial MAP_BUFFER_BATCH implementationSami Kiminki2015-06-30
| | | | | | | | | | | | | | | | | | | Add batch support for mapping and unmapping. Batching essentially helps transform some per-map/unmap overhead to per-batch overhead, namely gk20a_busy()/gk20a_idle() calls, GPU L2 flushes, and GPU TLB invalidates. Batching with size 64 has been measured to yield >20x speed-up in low-level fixed-address mapping microbenchmarks. Bug 1614735 Bug 1623949 Change-Id: Ie22b9caea5a7c3fc68a968d1b7f8488dfce72085 Signed-off-by: Sami Kiminki <skiminki@nvidia.com> Reviewed-on: http://git-master/r/733231 (cherry picked from commit de4a7cfb93e8228a4a0c6a2815755a8df4531c91) Reviewed-on: http://git-master/r/763812 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* Revert "Revert "Revert "Revert "gpu: nvgpu: New allocator for VA space""""Bharat Nihalani2015-06-04
| | | | | | | | | | | | | | | This reverts commit 2e5803d0f2b7d7a1577a40f45ab9f3b22ef2df80 since the issue seen with bug 200106514 is fixed with change http://git-master/r/#/c/752080/. Bug 200112195 Change-Id: I588151c2a7ea74bd89dc3fd48bb81ff2c49f5a0a Signed-off-by: Bharat Nihalani <bnihalani@nvidia.com> Reviewed-on: http://git-master/r/752503 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* Revert "Revert "Revert "gpu: nvgpu: New allocator for VA space"""Bharat Nihalani2015-06-02
| | | | | | | | | | | This reverts commit ce1cf06b9a8eb6314ba0ca294e8cb430e1e141c0 since it causes GPU pbdma interrupt to be generated. Bug 200106514 Change-Id: If3ed9a914c4e3e7f3f98c6609c6dbf57e1eb9aad Signed-off-by: Bharat Nihalani <bnihalani@nvidia.com> Reviewed-on: http://git-master/r/749291
* Revert "Revert "gpu: nvgpu: New allocator for VA space""Alex Waterman2015-05-19
| | | | | | | | | | | | | | This reverts commit 7eb42bc239dbd207208ff491c3fb65c3d83274d8. The original commit was actually fine. Change-Id: I564ce6530ac73fcfad17dcec9c53f0353b4f02d4 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/743300 (cherry picked from commit e99aa2485f8992eabe3556f3ebcb57bdc8ad91ff) Reviewed-on: http://git-master/r/743301 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Implement compbits mappingSami Kiminki2015-05-18
| | | | | | | | | | | | | | | | | | | | | | | | Implement NVGPU_AS_IOCTL_GET_BUFFER_COMPBITS_INFO for requesting info on compbits-mappable buffers; and NVGPU_AS_IOCTL_MAP_BUFFER_COMPBITS, which enables mapping compbits to the GPU address space of said buffers. This, subsequently, enables moving comptag swizzling from GPU to CDEH/CDEV formats to userspace. Compbits mapping is conservative and it may map more than what is strictly needed. This is because two reasons: 1) mapping must be done on small page alignment (4kB), and 2) GPU comptags are swizzled all around the aggregate cache line, which means that the whole cache line must be visible even if only some comptag lines are required from it. Cache line size is not necessarily a multiple of the small page size. Bug 200077571 Change-Id: I5ae88fe6b616e5ea37d3bff0dff46c07e9c9267e Signed-off-by: Sami Kiminki <skiminki@nvidia.com> Reviewed-on: http://git-master/r/719710 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* Revert "gpu: nvgpu: New allocator for VA space"Terje Bergstrom2015-05-12
| | | | | | | | | | | This reverts commit 2e235ac150fa4af8632c9abf0f109a10973a0bf5. Change-Id: I3aa745152124c2bc09c6c6dc5aeb1084ae7e08a4 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/741469 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Hiroshi Doyu <hdoyu@nvidia.com> Tested-by: Hiroshi Doyu <hdoyu@nvidia.com>
* gpu: nvgpu: New allocator for VA spaceAlex Waterman2015-05-11
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Implement a new buddy allocation scheme for the GPU's VA space. The bitmap allocator was using too much memory and is not a scaleable solution as the GPU's address space keeps getting bigger. The buddy allocation scheme is much more memory efficient when the majority of the address space is not allocated. The buddy allocator is not constrained by the notion of a split address space. The bitmap allocator could only manage either small pages or large pages but not both at the same time. Thus the bottom of the address space was for small pages, the top for large pages. Although, that split is not removed quite yet, the new allocator enables that to happen. The buddy allocator is also very scalable. It manages the relatively small comptag space to the enormous GPU VA space and everything in between. This is important since the GPU has lots of different sized spaces that need managing. Currently there are certain limitations. For one the allocator does not handle the fixed allocations from CUDA very well. It can do so but with certain caveats. The PTE page size is always set to small. This means the BA may place other small page allocations in the buddies around the fixed allocation. It does this to avoid having large and small page allocations in the same PDE. Change-Id: I501cd15af03611536490137331d43761c402c7f9 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/740694 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: 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
* gpu: nvgpu: use vm param to vm_map/unmap_bufferKonsta Holtta2015-04-04
| | | | | | | | | | | | | | Pass vm instead of as share to the userspace buffer mapping functions, since they need to be called also from other places than just the AS device ioctls, and as share is specific to them. Bug 1573150 Change-Id: I994872f23ea7b1582361f3f4fabbd64b4786419c Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/674020 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: fix struct file memleak in alloc_asKonsta Holtta2015-04-04
| | | | | | | | | | | | | Free also newly allocated struct file in error conditions with fput, and pair it by not trying to release the resulting null as_share on release. Bug 1597056 Change-Id: Ifad5c3a829b2c459ed6a738ecdc1ac2ac7e1678a Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/671527 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Submit coverity fixesTerje Bergstrom2015-03-18
| | | | | | | | | | Clear ioctl buffer and fix double free, and error case memory leak. Bug 200059216 Change-Id: I21cc2b0f6a7e8fca09f72caf4c54d570b13f400b Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/655347
* gpu: nvgpu: Implement NVGPU_AS_IOCTL_GET_VA_REGIONSSami Kiminki2015-03-18
| | | | | | | | | | | | | Implement NVGPU_AS_IOCTL_GET_VA_REGIONS which returns a list of GPU VA regions for different page sizes. This is required for the userspace for safe fixed-address address space allocation. Bug 1551752 Change-Id: I63ddde30935db2471bec498dae0caa870e89c1a5 Signed-off-by: Sami Kiminki <skiminki@nvidia.com> Reviewed-on: http://git-master/r/590814 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: fix sparse warningsDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | Fix below sparse warnings : warning: Using plain integer as NULL pointer warning: symbol <variable/funcion> was not declared. Should it be static? warning: Initializer entry defined twice Also, remove dead functions Bug 1573254 Change-Id: I29d71ecc01c841233cf6b26c9088ca8874773469 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/593363 Reviewed-by: Amit Sharma (SW-TEGRA) <amisharma@nvidia.com> Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Sachin Nikam <snikam@nvidia.com>
* gpu: nvgpu: Fix AS IOCTL return code for failed user writeSami Kiminki2015-03-18
| | | | | | | | | | | | Fix return code in gk20a_as_dev_ioctl() in case of failed copy_to_user(). Change-Id: I8b86c0dfca92c8c508006dc33673ccd926497819 Signed-off-by: Sami Kiminki <skiminki@nvidia.com> Reviewed-on: http://git-master/r/590813 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Remove get and put client routinesKonsta Holtta2015-03-18
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | gk20a_get_client() and gk20a_put_client() routines are effectively dead code. The GPU has been using pm_runtime for reference counting whether the device should be turned on or off, and gk20a_get_client() and gk20a_put_client() have had no positive effect on the behaviour. In worst case these functions trigger some issues as they may trigger code paths that should not be run. There is also a race between get/put and busy/idle. This patch removes the functions and reworks as_gk20a.c to correctly use gk20a_busy()/gk20a_idle() where put/get was required. Additionally, finalize_poweron() is moved to gk20a_busy(), similarly as it was with gk20a_get_client(). If pm_runtime is not in use, the device is only powered on and never off. Currently this affects vgpu power management since it does not use pm_runtime yet. Bug 1562096 Change-Id: I3162655f83457e9caccd9264eed36b5d51e60c52 Signed-off-by: Arto Merilainen <amerilainen@nvidia.com> Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/414998 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Tested-by: Seshendra Gadagottu <sgadagottu@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-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 __must_check to gk20a_busyKonsta Holtta2015-03-18
| | | | | | | | | | | | | | | The return value of gk20a_busy must be checked since it may not succeed in some cases. Add the __must_check attribute that generates a compiler warning for code that does not read the return value and fix all uses of the function to take error cases into account. Bug 200040921 Change-Id: Ibc2b119985fa230324c88026fe94fc5f1894fe4f Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/542552 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: create new nvgpu ioctl headerKonsta Holtta2015-03-18
| | | | | | | | | | | | | | | Move nvgpu ioctls from the many user space interface headers to a new single nvgpu.h header under include/uapi. No new code or replaced names are introduced; this change only moves the definitions and changes include directives accordingly. Bug 1434573 Change-Id: I4d02415148e437a4e3edad221e08785fac377e91 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/542651 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: rename gpu ioctls and structs to nvgpuKonsta Holtta2015-03-18
| | | | | | | | | | | | | | To help remove the nvhost dependency from nvgpu, rename ioctl defines and structures used by nvgpu such that nvhost is replaced by nvgpu. Duplicate some structures as needed. Update header guards and such accordingly. Change-Id: Ifc3a867713072bae70256502735583ab38381877 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/542620 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: fix -EINVAL retval in ioctlsKonsta Holtta2015-03-18
| | | | | | | | | | | | Proper error number for invalid request number is EINVAL instead of EFAULT, so change it in ioctl calls. Change-Id: I8fddd34e012700550e9e30fe17ba7152b3a0417b Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/542563 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Change error for invalid ioctl to dbgTerje Bergstrom2015-03-18
| | | | | | | | | | | Change loglevel of text for invalid ioctl to dbg. Bug 20038780 Change-Id: I0a2ba97d9c21b2225f8d3db59c80b70c2f2c679e Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/501171 GVS: Gerrit_Virtual_Submit
* 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: implement mapping for sparse allocationKirill Artamonov2015-03-18
| | | | | | | | | | | | | | | | Implement support for partial buffer mappings. Whitelist gr_pri_bes_crop_hww_esr accessed by fec during sparse texture initialization. bug 1456562 bug 1369014 bug 1361532 Change-Id: Ib0d1ec6438257ac14b40c8466b37856b67e7e34d Signed-off-by: Kirill Artamonov <kartamonov@nvidia.com> Reviewed-on: http://git-master/r/375012 Reviewed-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>
* 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: Fixes to static offset mappingsArto Merilainen2015-03-18
| | | | | | | | | | | | | | This patch addresses two issues in fixes offset mappings: - VA unmapping did not use lists safely. This caused an application hang if the application did not free all (fixed offset) buffers before quiting. - GPU was not powered closing AS node. If the address space had areas that were not freed, the driver tried to access hw without powering it up first. Change-Id: Ida526d222ea4e03b8d765eca16574ddc1823e60d Signed-off-by: Arto Merilainen <amerilainen@nvidia.com> Reviewed-on: http://git-master/r/405872 Reviewed-by: Automatic_Commit_Validation_User Reviewed-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/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>