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* gpu: nvgpu: Move setting of BAR0_WINDOW to busTerje Bergstrom2018-06-14
| | | | | | | | | | | | | Move setting of BAR0_WINDOW to bus HAL. Also moves the usage of spinlock to common code so that pramin_gk20a.[ch] can be deleted. JIRA NVGPU-588 Change-Id: I3ceabc56016711b2c93f31fedf07daa778a4873a Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1730890 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* 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: add placeholder for IPA to PAThomas Fleury2018-03-13
| | | | | | | | | | | | | | | | Add __nvgpu_sgl_phys function that can be used to implement IPA to PA translation in a subsequent change. Adapt existing function prototypes to add pointer to gpu context, as we will need to check if IPA to PA translation is needed. JIRA EVLR-2442 Bug 200392719 Change-Id: I5a734c958c8277d1bf673c020dafb31263f142d6 Signed-off-by: Thomas Fleury <tfleury@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1673142 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>
* gpu: nvgpu: introduce explicit nvgpu_sgl typeKonsta Holtta2018-03-01
| | | | | | | | | | | | | | | | | | | | | | | | | | The operations in struct nvgpu_sgt_ops have a scatter-gather list (sgl) argument which is a void pointer. Change the type signatures to take struct nvgpu_sgl * which is an opaque marker type that makes it more difficult to pass around wrong arguments, as anything goes for void *. Explicit types add also self-documentation to the code. For some added safety, some explicit type casts are now required in implementors of the nvgpu_sgt_ops interface when converting between the general nvgpu_sgl type and implementation-specific types. This is not purely a bad thing because the casts explain clearly where type conversions are happening. Jira NVGPU-30 Jira NVGPU-52 Jira NVGPU-305 Change-Id: Ic64eed6d2d39ca5786e62b172ddb7133af16817a Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1643555 GVS: Gerrit_Virtual_Submit Reviewed-by: Vijayakumar Subbu <vsubbu@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: 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: SGL passthrough implementationSunny He2017-09-22
| | | | | | | | | | | | | | | | | | | | | | | | | | | The basic nvgpu_mem_sgl implementation provides support for OS specific scatter-gather list implementations by simply copying them node by node. This is inefficient, taking extra time and memory. This patch implements an nvgpu_mem_sgt struct to act as a header which is inserted at the front of any scatter- gather list implementation. This labels every struct with a set of ops which can be used to interact with the attached scatter gather list. Since nvgpu common code only has to interact with these function pointers, any sgl implementation can be used. Initialization only requires the allocation of a single struct, removing the need to copy or iterate through the sgl being converted. Jira NVGPU-186 Change-Id: I2994f804a4a4cc141b702e987e9081d8560ba2e8 Signed-off-by: Sunny He <suhe@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1541426 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: nvgpu SGL implementationAlex Waterman2017-09-22
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The last major item preventing the core MM code in the nvgpu driver from being platform agnostic is the usage of Linux scattergather tables and scattergather lists. These data structures are used throughout the mapping code to handle discontiguous DMA allocations and also overloaded to represent VIDMEM allocs. The notion of a scatter gather table is crucial to a HW device that can handle discontiguous DMA. The GPU has a MMU which allows the GPU to do page gathering and present a virtually contiguous buffer to the GPU HW. As a result it makes sense for the GPU driver to use some sort of scatter gather concept so maximize memory usage efficiency. To that end this patch keeps the notion of a scatter gather list but implements it in the nvgpu common code. It is based heavily on the Linux SGL concept. It is a singly linked list of blocks - each representing a chunk of memory. To map or use a DMA allocation SW must iterate over each block in the SGL. This patch implements the most basic level of support for this data structure. There are certainly easy optimizations that could be done to speed up the current implementation. However, this patches' goal is to simply divest the core MM code from any last Linux'isms. Speed and efficiency come next. Change-Id: Icf44641db22d87fa1d003debbd9f71b605258e42 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1530867 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Reorg pramin HAL initializationSunny He2017-07-27
| | | | | | | | | | | | | | | | | | Reorganize HAL initialization to remove inheritance and construct the gpu_ops struct at compile time. This patch only covers the pramin 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: I0c0aecfb8f5ea436ef353b874f5e36ff24ebd130 Signed-off-by: Sunny He <suhe@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1527421 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Add wrapper nvgpu/bug.hTerje Bergstrom2017-04-13
| | | | | | | | | | | | | Add wrapper header file nvgpu/bug.h. It #includes <linux/bug.h> in Linux. JIRA NVGPU-13 Change-Id: I7bf02ba554333f7cbd79d72bd1cb423c81ebcb49 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1461545 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: Split out pramin codeAlex Waterman2017-03-31
Split out the pramin interface code in preparation for splitting out the mem_desc code. JIRA NVGPU-12 Change-Id: I3f03447ea213cc15669b0934fa706e7cb22599b7 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1323323 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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