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* 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>
* gpu: nvgpu: use get_base_addr() for pdb and mm_entryDeepak Nibade2016-12-27
| | | | | | | | | | | | | | | | | | Since page tables could either reside either in sysmem or vidmem, use gk20a_mem_get_base_addr() to get the base address for buffer This API will take care of returning proper base address Jira DNVGPU-20 Change-Id: I3422b51c3ffb8fb86f1dc5095263fc8f19dae44d Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1206407 (cherry picked from commit 3c4b22c35b2c4eec33234c2f8dccd9de9422d093) Reviewed-on: http://git-master/r/1210962 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: gp10x: add support for vidmem in page tablesKonsta Holtta2016-12-27
| | | | | | | | | | | | | Modify page table updates to take an aperture flag (up until gk20a_locked_gmmu_map()), don't hard-assume sysmem and propagate it to hardware. Jira DNVGPU-76 Change-Id: I797fdaaf5f42a84fa0446577359147fb6908a720 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1169295 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: gp10x: initial support for vidmem aperturesKonsta Holtta2016-12-27
| | | | | | | | | | | | | add gk20a_aperture_mask() for memory target selection now that buffers can actually be allocated from vidmem, and use it in all cases that have a mem_desc available. Jira DNVGPU-76 Change-Id: Ifd1908808d928155a0cadeff8ca451a151bfc8c5 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1169294 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: gp10b: Program NISO sysmem flush addrTerje Bergstrom2016-12-27
| | | | | | | | | | | | Program sysmem flush address to prevent random accesses of address 0. Change-Id: Ia577106c63a80589c154af41d18b70480ed7c7d7 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1149174 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Alex Waterman <alexw@nvidia.com>
* gpu: nvgpu: refactor gk20a_mem_{wr,rd} for vidmemKonsta Holtta2016-12-27
| | | | | | | | | | | | | | | | | To support vidmem, pass g and mem_desc to the buffer memory accessor functions. This allows the functions to select the memory access method based on the buffer aperture instead of using the cpu pointer directly (like until now). The selection and aperture support will be in another patch; this patch only refactors these accessors, but keeps the underlying functionality as-is. JIRA DNVGPU-23 Change-Id: I21d4a54827b0e2741012dfde7952c0555a583435 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1121914 GVS: Gerrit_Virtual_Submit Reviewed-by: Ken Adams <kadams@nvidia.com>
* gpu: nvgpu: Remove fn debug from PTE updateTerje Bergstrom2016-12-27
| | | | | | | | | | | | | | Function trace in update_gmmu_ptes_locked() cause too much spew on UART. Change-Id: I94c79be76394631cdee343b2f77e4bf0f830e0a8 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1144808 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: David Martinez Nieto <dmartineznie@nvidia.com> Reviewed-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-by: Ken Adams <kadams@nvidia.com>
* gpu: nvgpu: adapt gk20a_mm_entry for mem_descKonsta Holtta2016-12-27
| | | | | | | | | | | | | | | | | For upcoming vidmem refactor, replace struct gk20a_mm_entry's contents identical to struct mem_desc, with a struct mem_desc member. This makes it possible to use the page table buffers like the others too. JIRA DNVGPU-23 JIRA DNVGPU-20 Change-Id: Ia82da07b5a3bb9fb14a86bcf96a46b3a3c80bf28 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1139696 GVS: Gerrit_Virtual_Submit Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Ken Adams <kadams@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: gp10b: Use sysmem aperture for SoC memoryTerje Bergstrom2016-12-27
| | | | | | | | | | | | | In Tegra GPU, SoC memory has to be accessed as vidmem. In discrete GPU, it has to be accessed as sysmem. Change-Id: Id26588df17b4921533804f72bc8c0ac3892ae154 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1122591 GVS: Gerrit_Virtual_Submit Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Tested-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
* gpu: nvgpu: gp10b: Support GPUs with no physical modeTerje Bergstrom2016-12-27
| | | | | | | | | | | | Support GPUs which cannot choose between SMMU and physical addressing. Change-Id: Ic097fccb313d98fcea918a705eefb5cd619138f1 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/1122590 Reviewed-by: Konsta Holtta <kholtta@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Alex Waterman <alexw@nvidia.com>
* gpu: nvgpu: User-space managed address space support (gp10b)Sami Kiminki2016-12-27
| | | | | | | | | | | | Tell gk20a_init_vm() that bar2 VM is kernel-managed. Bug 200077571 Change-Id: I151c540a6dec76238e7959f745cfca280927f2d4 Signed-off-by: Sami Kiminki <skiminki@nvidia.com> Reviewed-on: http://git-master/r/746803 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* Revert "gpu: nvgpu: gp10b: Implement sparse PDEs"Terje Bergstrom2016-12-27
| | | | | | | | | | | | | This reverts commit c2707054192b058eec24a52c7f586b030f9ff007. It introduces regression in T124. Bug 1702063 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Change-Id: I8516c0bfe129bb1ac3d7a1983846061df8ae967b Reviewed-on: http://git-master/r/830787 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit
* gpu: nvgpu: gp10b: Implement sparse PDEsTerje Bergstrom2016-12-27
| | | | | | Change-Id: I260958d8dea1b445f91b8d15bf76d5321bdc76d1 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/758653
* gpu: nvgpu: gp10b: support to remove bar2 vmSeshendra Gadagottu2016-12-27
| | | | | | | | | | | | | Implement function to support bar2 vm clean-up. Signed-off-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-on: http://git-master/r/814573 Change-Id: If5d884e4e1ed87bec6284719d90e9e1963c69bed Signed-off-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-on: http://git-master/r/815428 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: fix ctag computation overflow with 8GBJussi Rasanen2016-12-27
| | | | | | | | | | | | | Bug 1689976 Change-Id: Ibf1c296fac4f2a2c6fcf062cbd80b3526a4fd4ed Signed-off-by: Jussi Rasanen <jrasanen@nvidia.com> Reviewed-on: http://git-master/r/806588 (cherry picked from commit 24b57989dc9636b41004bac32ee56dce90318350) Reviewed-on: http://git-master/r/808242 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Separate kernel and user GPU VA regions (gp10b)Sami Kiminki2016-12-27
| | | | | | | | | | | | Specify that everything in bar2 VM is kernel reserved. Bug 200077571 Change-Id: I8f6c6ac6352ffd64eedc09187593b6c8d05757ef Signed-off-by: Sami Kiminki <skiminki@nvidia.com> Reviewed-on: http://git-master/r/746802 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: gp10b: Use phys addresses in PDEsTerje Bergstrom2016-12-27
| | | | | | | | | | | | Use physical addresses in PDEs. All page table levels fit in 4k, so no need for SMMU mapping. Change-Id: Id9e418f35a79343f4a332a230e04abda5e0dd5d2 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/783748 GVS: Gerrit_Virtual_Submit Reviewed-by: Alex Waterman <alexw@nvidia.com> Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
* Revert "gpu: nvgpu: gp10b: Phys addresses for page tables"Matt Craighead2016-12-27
| | | | | | | | | | This reverts commit f7bf99929cf2ec5a295ac21c74cf9c4f1afd78c5. Change-Id: I0acfa18e9cf9bedd4051ec00faa497b3cdb9454b Signed-off-by: Matt Craighead <mcraighead@nvidia.com> Reviewed-on: http://git-master/r/768599 Reviewed-by: Hiroshi Doyu <hdoyu@nvidia.com> Tested-by: Hiroshi Doyu <hdoyu@nvidia.com>
* gpu: nvgpu: gp10b: Implement priv pagesTerje Bergstrom2016-12-27
| | | | | | | | Implement support for privileged pages. Use them for kernel allocated buffers. Change-Id: I24778c2b6063b6bc8a4bfd9d97fa6de01d49569a Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/761920
* gpu: nvgpu: gp10b: Phys addresses for page tablesTerje Bergstrom2016-12-27
| | | | | | | | | | | | Use always physical addresses for page tables. In gp10b new format each level fits in one page, so we do not need SMMU translation. Change-Id: Ie46b2bce0f7a4e8d2904d74b1df616e389874141 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/758181 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Alex Waterman <alexw@nvidia.com>
* gpu: nvgpu: gp10b: Fix PDE/PTE address handlingTerje Bergstrom2016-12-27
| | | | | | | | | | | | We were dropping the part of address that span word bounary. The register generator does not know how to real with multi-word fields, to edit things in manually. Bug 1646531 Change-Id: I3ef06d6dfcb0a499ed45456d165fe60c91492250 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/747468
* gpu: nvgpu: gp10b: Fix comptag index calculationTerje Bergstrom2016-12-27
| | | | | | | | | | Used 128k comptag spacing, when 64k is the correct one. Bug 1525976 Change-Id: Ie2f926929fa89cf715b86a57ffbf4dd1e4920473 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/737947
* gpu: nvgpu: gp10b: Enable new page table formatTerje Bergstrom2016-12-27
| | | | | | | | | | Enable new page table format for all platforms. Bug 1525976 Change-Id: I9a3cfabdef7dc6ec33e18a8a4f32063c40f680fa Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/737364
* gpu: nvgpu: gp10b: Fix caching attributeTerje Bergstrom2016-12-27
| | | | | | | | | | Fix caching attribute on 5-level page tables. Bug 1525976 Change-Id: I5c5bf336d87c642f42a387206a55a889e6e07ba6 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/737923
* gpu: nvgpu: gp10b: fix sparse warnings of static symbolDeepak Nibade2016-12-27
| | | | | | | | | | | | | | | | Fix sparse warnings of below type by making necessary symbols static: warning: symbol '<symbol>' was not declared. Should it be static? Bug 200088648 Change-Id: I222bebd958e29b3a95d161f05a3052389200fc10 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/736663 GVS: Gerrit_Virtual_Submit Reviewed-by: Amit Sharma (SW-TEGRA) <amisharma@nvidia.com> Reviewed-by: Sachin Nikam <snikam@nvidia.com>
* gpu: nvgpu: gp10b: Make page mapping scatter awareTerje Bergstrom2016-12-27
| | | | | | | | | | | Augment new page mapping code to be aware of scattered buffers. Bug 1605769 Change-Id: Ifdb326563d28ccf07fc4d3d76a24492a68493fe3 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/734355
* gpu: nvgpu: gp10b: Implement new page table formatTerje Bergstrom2016-12-27
| | | | | | | | | Implement the 5-level Pascal page table format. It is enabled only for simulation. Change-Id: I6767fac8b52fe0f6a2e2f86312de5fc93af6518e Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/682114
* gpu: nvgpu: gp10b: fix sparse warnings of static symbolDeepak Nibade2016-12-27
| | | | | | | | | | | | | | | Fix sparse warnings of below type by making necessary symbols static: warning: symbol '<symbol>' was not declared. Should it be static? Bug 200088648 Change-Id: Ic20ef3eb73dcbfe5f13506b5afa629c3e1db59d0 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/728012 GVS: Gerrit_Virtual_Submit Reviewed-by: Sachin Nikam <snikam@nvidia.com>
generated by cgit v1.2.2 (git 2.25.0) at 2024-07-02 19:46:27 -0400