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path: root/drivers/gpu/nvgpu/gm20b/bus_gm20b.c
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* 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: 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 bus HAL initializationSunny He2017-07-24
| | | | | | | | | | | | | | | | | | | Reorganize HAL initialization to remove inheritance and construct the gpu_ops struct at compile time. This patch only covers the bus 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: If03303c34d91480d41fc29e66069efd43e970d75 Signed-off-by: Sunny He <suhe@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1514660 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Alex Waterman <alexw@nvidia.com> Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
* gpu: nvgpu: Move time correlation to common codeTerje Bergstrom2017-06-20
| | | | | | | | | | | | | Time correlation does not have chip or OS specific dependencies, so move it to generic new source file bus.c. JIRA NVGPU-38 Change-Id: Ic7fdf8c9ccacf05baf1b3438a86b28e517093641 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1505171 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: hal for timestamps correlationThomas Fleury2017-06-15
| | | | | | | | | | | | | | | | | | | | | | | | In order to perform timestamps correlation for FECS traces, we need to collect GPU / GPU timestamps samples. In virtualization case, it is possible for a guest to get GPU timestamps by using read_ptimer. However, if the CPU timestamp is read on guest side, and the GPU timestamp is read on vm-server side, then it introduces some latency that will create an artificial offset for GPU timestamps (~2 us in average). For better CPU / GPU timestamps correlation, Added a command to collect all timestamps on vm-server side. Bug 1900475 Change-Id: Idfdc6ae4c16c501dc5e00053a5b75932c55148d6 Signed-off-by: Thomas Fleury <tfleury@nvidia.com> Reviewed-on: http://git-master/r/1472447 (cherry picked from commit 56f56b5cd9d2e75cf7d2613b5e115bfebdbee0ce) Reviewed-on: http://git-master/r/1489183 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: 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>
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