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* gpu: nvgpu: Remove gk20a_dbg* functionsTerje Bergstrom2018-05-09
| | | | | | | | | | | | | | | Switch all logging to nvgpu_log*(). gk20a_dbg* macros are intentionally left there because of use from other repositories. Because the new functions do not work without a pointer to struct gk20a, and piping it just for logging is excessive, some log messages are deleted. Change-Id: I00e22e75fe4596a330bb0282ab4774b3639ee31e Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1704148 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Check return code in gp10b_get_pde0_pgsz()Alex Waterman2018-03-26
| | | | | | | | | | | | | | | nvgpu_mem_begin() needs to have it's return code checked to make sure that it did not fail. Coverity defect id: 2883904 Bug 200291879 Change-Id: Ic845a73439a905997a1f871708b1f847f5b93293 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1681249 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Use correct PD for determining next apertureAlex Waterman2018-03-17
| | | | | | | | | | | | | | | | | | | | When generating the aperture field for the PDE being programmed we must use the next PD not the current PD. This is important for cases on the dGPU where VIDMEM runs out. In such cases the page table may reside in both VIDMEM and SYSMEM. Thus, if a PDE points to a PDE in a different type of memory (VIDMEM -> SYSMEM or SYSMEM -> VIDMEM) then the aperture will not be programmed correctly if the code uses the current PD for picking the next PD aperture. Bug 2082475 Change-Id: Ic1a8d1e2c2237712039dc298b97095d3bbc6c844 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1676831 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: add coherent case in gp10b_get_pde0_pgszThomas Fleury2018-03-16
| | | | | | | | | | | | | | | | | gp10b_get_pde0_pgsz computes pgsz depending on aperture and address, but it was not handling sysmem coherent case. Bug 2082475 Change-Id: I095acb05e3f917518368b879f5839f8e9dbcd8ea Signed-off-by: Thomas Fleury <tfleury@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1676255 Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> Reviewed-by: Alex Waterman <alexw@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Enable IO coherency on GV100Alex Waterman2018-03-07
| | | | | | | | | | | | | | This reverts commit 848af2ce6de6140323a6ffe3075bf8021e119434. This is a revert of a revert, etc, etc. It re-enables IO coherence again. JIRA EVLR-2333 Change-Id: Ibf97dce2f892e48a1200a06cd38a1c5d9603be04 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1669722 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* Revert "Revert "Revert "gpu: nvgpu: Get coherency on gv100 + NVLINK working"""Timo Alho2018-03-05
| | | | | | | | | | | This reverts commit 89fbf39a05483917c0a9f3453fd94c724bc37375. Bug 2075315 Change-Id: Id34a0376be5160b164931926ec600f77edf69667 Signed-off-by: Timo Alho <talho@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1668487 Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
* Revert "Revert "gpu: nvgpu: Get coherency on gv100 + NVLINK working""Alex Waterman2018-03-03
| | | | | | | | | | | | | | | This reverts commit 5a35a95654d561fce09a3b9abf6b82bb7a29d74b. JIRA EVLR-2333 Change-Id: I923c32496c343d39d34f6d406c38a9f6ce7dc6e0 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1667167 Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* Revert "gpu: nvgpu: Get coherency on gv100 + NVLINK working"Alex Waterman2018-02-28
| | | | | | | | | | | | | | Also revert other changes related to IO coherence. This may be the culprit in a recent dev-kernel lockdown. Bug 2070609 Change-Id: Ida178aef161fadbc6db9512521ea51c702c1564b Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1665914 Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Srikar Srimath Tirumala <srikars@nvidia.com>
* gpu: nvgpu: Use coherent aperture flagAlex Waterman2018-02-27
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | When using a coherent DMA API wee must make sure to program any aperture fields with the coherent aperture setting. To do this the nvgpu_aperture_mask() function was modified to take a third aperture mask argument, a coherent setting, so that code can use this function to generate coherent aperture settings. The aperture choice is some what tricky: the default version of this function uses the state of the DMA API to determine what aperture to use for SYSMEM: either coherent or non-coherent internally. Thus a kernel user need only specify the normal nvgpu_mem struct and the correct mask should be chosen. Due to many uses of nvgpu_mem structs not created directly from the DMA API wrapper it's easier to translate SYSMEM to SYSMEM_COH after creation. However, the GMMU mapping code, will encounter buffers from userspace with difference coerency attributes than the DMA API. Thus the __nvgpu_aperture_mask() really respects the aperture setting passed in regardless of the DMA API state. This aperture setting is pulled from NVGPU_VM_MAP_IO_COHERENT since this is either passed in from userspace or set by the kernel when using coherent DMA. The aperture field in attrs is upgraded to coh if this flag is set. This change also adds a coherent sysmem mask everywhere that it can. There's a couple places that do not have a coherent register field defined yet. These need to eventually be defined and added. Lastly the aperture mask code has been mvoed from the Linux vm.c code to the general vm.c code since this function has no Linux dependencies. Note: depends on https://git-master.nvidia.com/r/1664536 for new register fields. JIRA EVLR-2333 Change-Id: I4b347911ecb7c511738563fe6c34d0e6aa380d71 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1655220 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Cleanup map attributes debuggingAlex Waterman2018-02-22
| | | | | | | | | | | Make the map attributes printed by map debug code are more easily readable and consistent. Change-Id: I9737131a2ea44c6a080dff0095929760888b83ae Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1654518 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: fix typoAlex Waterman2018-01-19
| | | | | | | | | | | | Rename gb10b_init_bar2_vm*() to gp10b_init_bar2_vm*(). Bug 200378257 Change-Id: I9f8a9ef42c82923200d7053c61bab2652b58cbc2 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1639757 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: ramin_big_page_size default val is set to 64kbSeema Khowala2018-01-18
| | | | | | | | | | | | | | | | | | | | | | | | -MMU_CTRL_USE_PDB_BIG_PAGE_SIZE is set to TRUE and hence RAMIN_BIG_PAGE_SIZE should be set to 64KB i.e. val 1. By default this is set to 128KB i.e. val 0. -This change will also fix an issue where perfbuffer_enable and nvgpu_init_hwpm function pass 0 as big page size while initializing inst_block and due to which ramin_big_page_size does not get updated to 64KB and remains set to unsupported 128KB value. -Volta supports 64KB for big pages. Selecting 128KB for big pages results in an UNBOUND_INSTANCE fault. Bug 200327596 Change-Id: Ie304e4e5ff7bedaead27e9380d64c59013dd64ca Signed-off-by: Seema Khowala <seemaj@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1639540 Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> Reviewed-by: Alex Waterman <alexw@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: fix indexing in locate pte functionDavid Nieto2017-12-05
| | | | | | | | | | | | | | | | | | | The current code does not properly calculate the indexes within the PDE to access the proper entry, and it has a bug in assignement of the big page entries. This change fixes the issue by: (1) Passing a pointer to the level structure and dereferencing the index offset to the next level. (2) Changing the format of the address. (3) Ensuring big pages are only selected if their address is set. Bug 200364599 Change-Id: I46e32560ee341d8cfc08c077282dcb5549d2a140 Signed-off-by: David Nieto <dmartineznie@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1610562 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Deepak Bhosale <dbhosale@nvidia.com>
* gpu: nvgpu: Introduce include/nvpgu/sizes.hTerje Bergstrom2017-12-01
| | | | | | | | | | | | We use SZ_* #defines in some parts of nvgpu, but we don't explicitly include a header that defines it. Add include/nvgpu/sizes.h that in Linux #includes linux/sizes.h. Change-Id: I8f506d85c7eaa12e649f5874a87533e2f0fe9438 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1607575 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: remove use of os_linux.h from mm_gp10b.cDeepak Nibade2017-11-02
| | | | | | | | | | | | | | | gp10b/mm_gp10b.c does not depend on os_linux.h and since it is linux header anyways, remove it from common code Jira NVGPU-259 Change-Id: I85231f188ecc27d7e83bee026f915b5a5a99a7fd Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1590524 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: fix pte location functionsDavid Nieto2017-11-01
| | | | | | | | | | | | | | | | | | Modify the recursive loop in pte_find to make sure it is targeting the proper pde page size. JIRA NVGPUGV100-36 Change-Id: Ib3673d8d9f1bd3c907d532f9e2562ecdc5dda4af Signed-off-by: David Nieto <dmartineznie@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1586739 Reviewed-by: Alex Waterman <alexw@nvidia.com> Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Cleanup generic MM code in gk20a/mm_gk20a.cAlex Waterman2017-10-24
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Move much of the remaining generic MM code to a new common location: common/mm/mm.c. Also add a corresponding <nvgpu/mm.h> header. This mostly consists of init and cleanup code to handle the common MM data structures like the VIDMEM code, address spaces for various engines, etc. A few more indepth changes were made as well. 1. alloc_inst_block() has been added to the MM HAL. This used to be defined directly in the gk20a code but it used a register. As a result, if this register hypothetically changes in the future, it would need to become a HAL anyway. This path preempts that and for now just defines all HALs to use the gk20a version. 2. Rename as much as possible: global functions are, for the most part, prepended with nvgpu (there are a few exceptions which I have yet to decide what to do with). Functions that are static are renamed to be as consistent with their functionality as possible since in some cases function effect and function name have diverged. JIRA NVGPU-30 Change-Id: Ic948f1ecc2f7976eba4bb7169a44b7226bb7c0b5 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1574499 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: rename ops.mm.get_physical_addr_bitsAlex Waterman2017-10-04
| | | | | | | | | | | | | | | | Rename get_physical_addr_bits and related functions to something that more clearly conveys what they are doing. The basic idea of these functions is to translate from a physical GPU address to a IOMMU GPU address. To do that a particular bit (that varies from chip to chip) is added to the physical address. JIRA NVGPU-68 Change-Id: I536cc595c4397aad69a24f740bc74db03f52bc0a Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1542966 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Change license for common files to MITTerje Bergstrom2017-09-26
| | | | | | | | | | | | Change license of OS independent source code files to MIT. JIRA NVGPU-218 Change-Id: I1474065f4b552112786974a16cdf076c5179540e Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1565880 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Reorg mm HAL initializationSunny He2017-08-14
| | | | | | | | | | | | | | | | | | | Reorganize HAL initialization to remove inheritance and construct the gpu_ops struct at compile time. This patch only covers the mm sub-module of the gpu_ops struct. Perform HAL function assignments in hal_gxxxx.c through the population of a chip-specific copy of gpu_ops. Jira NVGPU-74 Change-Id: Ieb87a62f047510e51c52e6563d8e3fd5a65b5f28 Signed-off-by: Sunny He <suhe@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1537753 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: shorten PTE debug printAlex Waterman2017-08-14
| | | | | | | | | | | | | If the debug message printed to the Linux kernel is too long then the end of the message gets truncated. This causes loss of valuable PTE information. Change-Id: I05e890819ec176c6aa909b04352e8a40f1936ecf Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1537077 Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* Revert "gpu: nvgpu: Reorg mm HAL initialization"Sunny He2017-08-11
| | | | | | | | | | | | Conflicts with gv100 changes This reverts commit 8d63cd3995d4a650b478ad69d7e29ed2b1b2d927. Change-Id: Ie2f88d281b2b87a9a794d79164a61c4d883626b7 Signed-off-by: Sunny He <suhe@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1537668 Reviewed-by: Shu Zhong <shuz@nvidia.com> Tested-by: Shu Zhong <shuz@nvidia.com>
* gpu: nvgpu: Reorg mm HAL initializationSunny He2017-08-11
| | | | | | | | | | | | | | | | | Reorganize HAL initialization to remove inheritance and construct the gpu_ops struct at compile time. This patch only covers the mm sub-module of the gpu_ops struct. Perform HAL function assignments in hal_gxxxx.c through the population of a chip-specific copy of gpu_ops. Jira NVGPU-74 Change-Id: I289284e6e528fc7951c959c8765ccf9349eec33b Signed-off-by: Sunny He <suhe@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1533351 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Remove mm.get_iova_addrAlex Waterman2017-08-04
| | | | | | | | | | | | | | | | | | | | | | Remove the mm.get_iova_addr() HAL and replace it with a new HAL called mm.gpu_phys_addr(). This new HAL provides the real phys address that should be passed to the GPU from a physical address obtained from a scatter list. It also provides a mechanism by which the HAL code can add extra bits to a GPU physical address based on the attributes passed in. This is necessary during GMMU page table programming. Also remove the flags argument from the various address functions. This flag was used for adding an IO coherence bit to the GPU physical address which is not supported. JIRA NVGPU-30 Change-Id: I69af5b1c6bd905c4077c26c098fac101c6b41a33 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1530864 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Move dev field from gk20a to nvgpu_os_linuxTerje Bergstrom2017-07-07
| | | | | | | | | | | | | Move field "struct device *dev" from struct gk20a to struct nvgpu_os_linux. The field is valid only for Linux. JIRA NVGPU-38 Change-Id: I09286aa3a9c5a2406e5a27c1fbf21b2c515b4dd4 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master/r/1514162 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Cleanup GMMU debug printingAlex Waterman2017-07-07
| | | | | | | | | | | | | | | | | | | | | | | Ensure that all debug prints are consistent from chip to chip and function to function. The following maps letters in the debug print to their meaning: C Mapping is cachable v Mapping is volatile S Mapping is sparse P Mapping is private (VPR/WPR) c Mapping is coherent V Mapping is valid JIRA NVGPU-30 Change-Id: Ia890af88677c3e6d3fdd8c4fe266158c35b8afcd Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master/r/1514903 GVS: Gerrit_Virtual_Submit Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Tested-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
* gpu: nvgpu: use coherent aperture for coherent buffersDeepak Nibade2017-07-07
| | | | | | | | | | | | | | | | | Use sysmem_coherent aperture if the buffer mappings are requested to be IO coherent. Use sysmem_noncoherent aperture otherwise. This is implemented by adding a new coherent field to the GMMU attrs struct. Jira GPUT19X-17 Bug 1651331 Bug 200283998 Change-Id: I5cfb71b5913d4db50ebf10331b19f5a4216456bf Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: https://git-master/r/1514438 GVS: Gerrit_Virtual_Submit Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
* gpu: nvgpu: remove coherence support from gp10bDeepak Nibade2017-07-07
| | | | | | | | | | | | | | | | | | | | | We do not support coherence for gp10b, hence clean up related code Remove API gp10b_mm_phys_addr_translate() and use physical address instead Also, since now gp10b_mm_iova_addr() becomes equivalent to gk20a_mm_iova_addr(), remove gp10b_mm_iova_addr() altogether We first set gk20a_mm_iova_addr() to get_iova_addr() pointer anyways so we continue using gk20a version of the API Jira GPUT19X-17 Bug 1651331 Bug 200283998 Change-Id: Ic1ca198fcde7ddbcd23516bff8a2e65c9eae32b1 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: https://git-master/r/1512598 GVS: Gerrit_Virtual_Submit Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
* gpu: nvgpu: Implement PD packingAlex Waterman2017-07-06
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | In some cases page directories require less than a full page of memory. For example, on Pascal, the final PD level for large pages is only 256 bytes; thus 16 PDs can fit in a single page. To allocate an entire page for each of these 256 B PDs is extremely wasteful. This patch aims to alleviate the wasted DMA memory from having small PDs in a full page by packing multiple small PDs into a single page. The packing is implemented as a slab allocator - each page is a slab and from each page multiple PD instances can be allocated. Several modifications to the nvgpu_gmmu_pd struct also needed to be made to support this. The nvgpu_mem is now a pointer and there's an explicit offset into the nvgpu_mem struct so that each nvgpu_gmmu_pd knows what portion of the memory it's using. The nvgpu_pde_phys_addr() function and the pd_write() functions also require some changes since the PD no longer is always situated at the start of the nvgpu_mem. Initialization and cleanup of the page tables for each VM was slightly modified to work through the new pd_cache implementation. Some PDs (i.e the PDB), despite not being a full page, still require a full page for alignment purposes (HW requirements). Thus a direct allocation method for PDs is still provided. This is also used when a PD that could in principle be cached is greater than a page in size. Lastly a new debug flag was added for the pd_cache code. JIRA NVGPU-30 Change-Id: I64c8037fc356783c1ef203cc143c4d71bbd5d77c Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master/r/1506610 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> GVS: Gerrit_Virtual_Submit
* gpu: nvgpu: gmmu programming rewriteAlex Waterman2017-07-06
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | Update the high level mapping logic. Instead of iterating over the GPU VA iterate over the scatter-gather table chunks. As a result each GMMU page table update call is simplified dramatically. This also modifies the chip level code to no longer require an SGL as an argument. Each call to the chip level code will be guaranteed to be contiguous so it only has to worry about making a mapping from virt -> phys. This removes the dependency on Linux that the chip code currently has. With this patch the core GMMU code still uses the Linux SGL but the logic is highly transferable to a different, nvgpu specific, scatter gather list format in the near future. The last major update is to push most of the page table attribute arguments to a struct. That struct is passed on through the various mapping levels. This makes the funtions calls more simple and easier to follow. JIRA NVGPU-30 Change-Id: Ibb6b11755f99818fe642622ca0bd4cbed054f602 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master/r/1484104 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> GVS: Gerrit_Virtual_Submit
* gpu: nvgpu: Per chip default big page sizeTerje Bergstrom2017-06-30
| | | | | | | | | | | | | | Make default big page size query a HAL op instead of per-platform constant. This allows querying for default big page size without accessing Linux specific gk20a_platform structure. JIRA NVGPU-38 Change-Id: Ibfbd1319764fdae5fdb06700fb64d23f6f3dd01a Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master/r/1507928 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit
* gpu: nvgpu: Remove extraneous VM init/deinit APIsAlex Waterman2017-06-06
| | | | | | | | | | | | | | | | | | | | Support only VM pointers and ref-counting for maintaining VMs. This dramatically reduces the complexity of the APIs, avoids the API abuse that has existed, and ensures that future VM usage is consistent with current usage. Also remove the combined VM free/instance block deletion. Any place where this was done is now replaced with an explict free of the instance block and a nvgpu_vm_put(). JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: Ib73e8d574ecc9abf6dad0b40a2c5795d6396cc8c Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1480227 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Add and use VM init/deinit APIsAlex Waterman2017-05-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Remove the VM init/de-init from the HAL and instead use a single set of routines that init/de-init VMs. This prevents code divergence between vGPUs and regular GPUs. This patch also clears up the naming of the routines a little bit. Since some VMs are used inplace and others are dynamically allocated the APIs for freeing them were confusing. Also some free calls also clean up an instance block (this is API abuse - but this is how it currently exists). The new API looks like this: void __nvgpu_vm_remove(struct vm_gk20a *vm); void nvgpu_vm_remove(struct vm_gk20a *vm); void nvgpu_vm_remove_inst(struct vm_gk20a *vm, struct nvgpu_mem *inst_block); void nvgpu_vm_remove_vgpu(struct vm_gk20a *vm); int nvgpu_init_vm(struct mm_gk20a *mm, struct vm_gk20a *vm, u32 big_page_size, u64 low_hole, u64 kernel_reserved, u64 aperture_size, bool big_pages, bool userspace_managed, char *name); void nvgpu_deinit_vm(struct vm_gk20a *vm); JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: Ia4016384c54746bfbcaa4bdd0d29d03d5d7f7f1b Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1477747 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Refactor VM init/cleanupAlex Waterman2017-05-26
| | | | | | | | | | | | | | | | | Refactor the API for initializing and cleaning up VMs. This also involved moving a bunch of GMMU code out into the gmmu code since part of initializing a VM involves initializing the page tables for the VM. JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: I4710f08c26a6e39806f0762a35f6db5c94b64c50 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1477746 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Split VM implementation outAlex Waterman2017-05-19
| | | | | | | | | | | | | | | | | | | | This patch begins splitting out the VM implementation from mm_gk20a.c and moves it to common/linux/vm.c and common/mm/vm.c. This split is necessary because the VM code has two portions: first, an interface for the OS specific code to use (i.e userspace mappings), and second, a set of APIs for the driver to use (init, cleanup, etc) which are not OS specific. This is only the beginning of the split - there's still a lot of things that need to be carefully moved around. JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: I3b57cba245d7daf9e4326a143b9c6217e0f28c96 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1477743 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Split VM interface outAlex Waterman2017-05-19
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This patch begins the major rework of the GPU's virtual memory manager (VMM). The VMM is the piece of code that handles the userspace interface to buffers and their mappings into the GMMU. The core data structure is the VM - for now still known as 'struct vm_gk20a'. Each one of these structs represents one addres space to which channels or TSGs may bind themselves to. The VMM splits the interface up into two broad categories. First there's the common, OS independent interfaces; and second there's the OS specific interfaces. OS independent -------------- This is the code that manages the lifetime of VMs, the buffers inside VMs (search, batch mapping) creation, destruction, etc. OS Specific ----------- This handles mapping of buffers represented as they are represented by the OS (dma_buf's for example on Linux). This patch is by no means complete. There's still Linux specific functions scattered in ostensibly OS independent code. This is the first step. A patch that rewrites everything in one go would simply be too big to effectively review. Instead the goal of this change is to simply separate out the basic OS specific and OS agnostic interfaces into their own header files. The next series of patches will start to pull the relevant implementations into OS specific C files and common C files. JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: I242c7206047b6c769296226d855b7e44d5c4bfa8 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1464939 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Scrub gk20a_platform dependenciesTerje Bergstrom2017-05-18
| | | | | | | | | | | | | | Remove gk20a_platform dependencies from gk20a.h. This makes gk20a_platform a Linux platform specific data structure. Add #include for platform_gk20a.h in the source files that still depend on Linux. JIRA NVGPU-16 Change-Id: Ib098accd34a1f5066eb8680c387f9b178169f3f0 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1463547 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Move Linux nvgpu_mem fieldsAlex Waterman2017-04-20
| | | | | | | | | | | | | | | | | | | | Hide the Linux specific nvgpu_mem fields so that in subsequent patches core code can instead of using struct sg_table it can use mem_desc. Routines for accessing system specific fields will be added as needed. This is the first step in a fairly major overhaul of the GMMU mapping routines. There are numerous issues with the current design (or lack there of): massively coupled code, system dependencies, disorganization, etc. JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: I2e7d3ae3a07468cfc17c1c642d28ed1b0952474d Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1464076 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: gm20b: Use new delay APIsTerje Bergstrom2017-04-13
| | | | | | | | | | | | | | | Use platform agnostic delay functions instead of Linux kernel APIs. This allows removing dependency to Linux header linux/delay.h. At the same time remove #include lines for other unused Linux headers. JIRA NVGPU-16 Change-Id: I05df9d72edaf4bb061febe0cb40fc8a7cf9f51c7 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1460114 Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Alex Waterman <alexw@nvidia.com>
* gpu: nvgpu: Move DMA API to dma.hAlex Waterman2017-04-06
| | | | | | | | | | | | | | | Make an nvgpu DMA API include file so that the intricacies of the Linux DMA API can be hidden from the calling code. Also document the nvgpu DMA API. JIRA NVGPU-12 Change-Id: I7578e4c726ad46344b7921179d95861858e9a27e Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1323326 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: rename mem_desc to nvgpu_memAlex Waterman2017-04-06
| | | | | | | | | | | | | | | | | Renaming was done with the following command: $ find -type f | \ xargs sed -i 's/struct mem_desc/struct nvgpu_mem/g' Also rename mem_desc.[ch] to nvgpu_mem.[ch]. JIRA NVGPU-12 Change-Id: I69395758c22a56aa01e3dffbcded70a729bf559a Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1325547 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Rename gk20a_mem_* functionsAlex Waterman2017-04-06
| | | | | | | | | | | | Rename the functions used for mem_desc access to nvgpu_mem_*. JIRA NVGPU-12 Change-Id: Ibfdc1112d43f0a125e4487c250e3f977ffd2cd75 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1323325 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Add bus HALTerje Bergstrom2017-03-23
| | | | | | | | | | | Add bus HAL and move all bus related hardware sequencing to that file: BAR1 binding, timer access, and interrupt handling. Change-Id: Ibc5f5797dc338de10749b446a7bdbcae600fecb4 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1323353 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: ACR interface headers reorganizationMahantesh Kumbar2017-02-23
| | | | | | | | | | | | | | | | | | | | | | -Moved ACR interface headers from acr_gm20b.h/acr_gp106.h to Its specific header files under “drivers/gpu/nvgpu/include/nvgpu/acr/” Folder. - nvgpu_acr.h - Top-level header-file which include ACR interfaces headers & defines required to communicate with ACR, including this header file is good to get access into ACR interface & made changes accordingly, -Deleted acr.h & acr_t18x.h as not required anymore & removed its include from dependent files. Jira NVGPU-19 Change-Id: Ie404043cfe1ab32404eb63a43831f470d8436324 Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com> Reviewed-on: http://git-master/r/1304748 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Organize semaphore_gk20a.[ch]Alex Waterman2017-02-13
| | | | | | | | | | | | | | | | | | | | | | | Move semaphore_gk20a.c drivers/gpu/nvgpu/common/ since the semaphore code is common to all chips. Move the semaphore_gk20a.h header file to drivers/gpu/nvgpu/include/nvgpu and rename it to semaphore.h. Also update all places where the header is inluced to use the new path. This revealed an odd location for the enum gk20a_mem_rw_flag. This should be in the mm headers. As a result many places that did not need anything semaphore related had to include the semaphore header file. Fixing this oddity allowed the semaphore include to be removed from many C files that did not need it. Bug 1799159 Change-Id: Ie017219acf34c4c481747323b9f3ac33e76e064c Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1284627 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Move gp10b HW headersAlex Waterman2017-01-11
| | | | | | | | | | | | | | | | | | | | Move the gp10b HW headers to a new directory specially for them: include/nvgpu/hw/gp10b And change the code to include like so: #include <nvgpu/hw/gp10b/hw_fb_gp10b.h> This is part of the process to restructure the nvgpu driver. Bug 1799159 Change-Id: Ic80ea5b7f5c280839e502e2178a345181f7a7ef9 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1280326 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu:nvgpu: gp10x: use chip specific init_inst_blockseshendra Gadagottu2016-12-27
| | | | | | | | | | JIRA GV11B-21 Change-Id: I3e2cb2384b6a26ba339a79d38c91dd47480fe6a6 Signed-off-by: seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-on: http://git-master/r/1254876 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: compact pte buffersKonsta Holtta2016-12-27
| | | | | | | | | | | | | | | | | | | The lowest page table level may hold very few entries for mappings of large pages, but a new page is allocated for each list of entries at the lowest level, wasting memory and performance. Compact these so that the new "allocation" of ptes is appended at the end of the previous allocation, if there is space. Bug 1736604 Change-Id: I4c7c4cad9019de202325750aee6034076e7e61c2 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1222810 (cherry picked from commit 97303ecc946c17150496486a2f52bd481311dbf7) Reviewed-on: http://git-master/r/1234995 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: fix pde0 target bit programmingKonsta Holtta2016-12-27
| | | | | | | | | | | | | | | | | | | | Use entry->mem for determining the target aperture bits of the memory block represented by entry->mem in update_gmmu_pde0_locked(), instead of pte->mem that holds the parent memory where this bit is written to. Previously this has worked because all page tables have been in the same aperture, but really large userspace allocations may push a part of them suddendly to sysmem. Bug 1809939 Change-Id: I3372487c6ae9793018ce44552ded3fb1ba4d145a Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1218636 (cherry picked from commit a92596f6e8e621e51b6afae9ab7e62044d6311eb) Reviewed-on: http://git-master/r/1220525 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: select target based on apertureDeepak Nibade2016-12-27
| | | | | | | | | | | | | | | | | | | | For bar2 and pmu instance blocks, 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: Ieaa80bd83a4191fe57b7fba6e0f9cdaeb195a077 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1216138 (cherry picked from commit 7a9f4175abc5dddf0879215de4637b7b6eb0ab7b) Reviewed-on: http://git-master/r/1219712 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
generated by cgit v1.2.2 (git 2.25.0) at 2024-08-24 18:38:23 -0400