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path: root/drivers/gpu/nvgpu/gk20a/mm_gk20a.h
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* gpu: nvgpu: move priv cmd definitions to channelKonsta Holtta2018-08-31
| | | | | | | | | | | | | | struct priv_cmd_queue and struct priv_cmd_entry are related to the list of jobs in a channel, so move their definitions from the mm header to the channel header. Jira NVGPU-967 Change-Id: Ib0cf3fd52be463e720165a47e56b14724273473e Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1807371 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: move gpfifo_desc to channel headerKonsta Holtta2018-08-31
| | | | | | | | | | | | | struct gpfifo_desc belongs to channel; reduce dependencies to mm by moving it there. Jira NVGPU-967 Change-Id: I3c6ac3d4e47fc0c843d407ee0e1100a009763d08 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1807398 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Changed enum gmmu_pgsz_gk20a into macrosAmulya2018-08-22
| | | | | | | | | | | | | | | | | | Changed the enum gmmu_pgsz_gk20a into macros and changed all the instances of it. The enum gmmu_pgsz_gk20a was being used in for loops, where it was compared with an integer. This violates MISRA rule 10.4, which only allows arithmetic operations on operands of the same essential type category. Changing this enum into macro will fix this violation. JIRA NVGPU-993 Change-Id: I6f18b08bc7548093d99e8229378415bcdec749e3 Signed-off-by: Amulya <Amurthyreddy@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1795593 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: MISRA 10.3-Conversions to/from an enumAmulya2018-08-21
| | | | | | | | | | | | | | | | | Fix violations where the conversion is from a non-enum type to enum type or vice-versa. JIRA NVGPU-659 Change-Id: I45f43c907b810cc86b2a4480809d0c6757ed3486 Signed-off-by: Amulya <Amurthyreddy@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1802322 GVS: Gerrit_Virtual_Submit Tested-by: Amulya Murthyreddy <amurthyreddy@nvidia.com> Reviewed-by: Alex Waterman <alexw@nvidia.com> Reviewed-by: Adeel Raza <araza@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Remove unused function declarationsAlex Waterman2018-05-25
| | | | | | | | | | | | Change-Id: I36f2d13ed3797719137c670afef9b644d48ea16e Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1727485 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Konsta Holtta <kholtta@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: move parameter of .vm_bind_channel from as_share to vmRichard Zhao2018-04-25
| | | | | | | | | | | | | | as_share is more os specific and not yet used on other OSes. Jira VQRM-2344 Change-Id: Ie2ed007125400484352fbab602c37a198e8a64ae Signed-off-by: Richard Zhao <rizhao@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1699842 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: Update gk20a pde bit coverage functionAlex Waterman2018-01-19
| | | | | | | | | | | | | | | | | The mm_gk20a.c function that returns number of bits that a PDE covers is very useful for determing PDE size for all chips. Copy this into the common VM code since this applies to all chips/platforms. Bug 200105199 Change-Id: I437da4781be2fa7c540abe52b20f4c4321f6c649 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1639730 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: 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: 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: Remove Linux headers from mm_gk20a.hAlex Waterman2017-10-27
| | | | | | | | | | | | | | | | | | | | | | | | | Delte the Linux headers and make some modifications to get rid of the minor compilation issues that resulted. - Add <linux/iommu.h> to os_linux.h - Delete #if 0 code that "flushed" a buffer in gr_gk20a.c - Delete FLUSH_CPU_DCACHE() macro - Move the cache flush definitions to <nvgpu/linux/vm.h> and include this header in sim_gk20a.c. This file will not be used by QNX so this should be fine. - Add <linux/pci_ids.h> to gp106/bios_gp106.c and gp106/mclk_gp106.c. - Move function to common/linux/dmabuf.h since it is a dmabuf related function and uses a struct device pointer as an argument. JIRA NVGPU-30 Change-Id: I11f56b98524c7fac3efa91b4686592130e5f8a46 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1585510 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: add cache maintenance timeout overrideDavid Nieto2017-10-23
| | | | | | | | | | | | Add functions to get per-chip cache maintenance timeout overrides. JIRA: NVGPUGV100-GV100 Change-Id: Ie14efc616e7af52ede60031c789bd2ae70857a6e Signed-off-by: David Nieto <dmartineznie@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1582768 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Convert VIDMEM work_struct to threadAlex Waterman2017-10-20
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Convert the work_struct used by the vidmem background clearing to a thread to make it more cross platform. The thread waits on a condition variable to determine when work needs to be done. The signal comes from the DMA API when it enqueues a new nvgpu_mem that needs clearing. Add logic for handling suspend: the CE cannot be accessed while the GPU is suspended. As such the background thread must be paused while the GPU is suspended and the CE is not available. Several other changes were also made: o Move the code that enqueues a nvgpu_mem from the DMA API code to a function in the VIDMEM code. o Move nvgpu_vidmem_get_pending_alloc() to the Linux specific code as this function is only used there. It's a trivial function that QNX can easily implement as well. o Remove the was_empty logic from the enqueue. Now just always signal the condition variable when anew nvgpu_mem comes in. o Move CE suspend to after MM suspend. JIRA NVGPU-30 JIRA NVGPU-138 Change-Id: Ie9286ae5a127c3fced86dfb9794e7d81eab0491c Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1574498 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Refactoring nvgpu_vm functionsAlex Waterman2017-10-18
| | | | | | | | | | | | | | | | | | | | Refactor the last nvgpu_vm functions from the mm_gk20a.c code. This removes some usages of dma_buf from the mm_gk20a.c code, too, which helps make mm_gk20a.c less Linux specific. Also delete some header files that are no longer necessary in gk20a/mm_gk20a.c which are Linux specific. The mm_gk20a.c code is now quite close to being Linux free. JIRA NVGPU-30 JIRA NVGPU-138 Change-Id: I72b370bd85a7b029768b0fb4827d6abba42007c3 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1566629 Reviewed-by: Konsta Holtta <kholtta@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Move dma_buf usage from mm_gk20a.cAlex Waterman2017-10-18
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Move most of the dma_buf usage present in the mm_gk20a.c code out to Linux specific code and some commom/mm code. There's two primary groups of code: 1. dma_buf priv field code (for holding comptag data) 2. Comptag usage that relies on dma_buf pointers For (1) the dma_buf code was simply moved to common/linux/dmabuf.c since most of this code is clearly Linux specific. The comptag code was a bit more complicated since there is two parts to the comptag code. Firstly there's the code that manages the comptag memory. This is essentially a simple allocator. This was moved to common/mm/comptags.c since it can be shared across all chips. The second set of code is moved to common/linux/comptags.c since it is the interface between dma_bufs and the comptag memory. Two other fixes were done as well: - Add struct gk20a to the comptag allocator init so that the proper nvgpu_vzalloc() function could be used. - Add necessary includes to common/linux/vm_priv.h. JIRA NVGPU-30 JIRA NVGPU-138 Change-Id: I96c57f2763e5ebe18a2f2ee4b33e0e1a2597848c Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1566628 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Remove SGL reference from mm_gk20a.cAlex Waterman2017-10-11
| | | | | | | | | | | | | | | | | | | | Remove an SGL reference from the mm_gk20a.c code. This code is common code and as such all linuxisms need to be fixed. It just so happens that this particular function is only used by the CDE code which is only present in Linux. So simply move this function over to the CDE code. JIRA NVGPU-30 JIRA NVGPU-225 JIRA NVGPU-226 Change-Id: Ifb0cb427c742c6d9cada382ace4a52f52474c379 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1576436 Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Remove phys_addr_t from common codeAlex Waterman2017-10-11
| | | | | | | | | | | | | | | Remove phys_addr_t from common code and replace it with u64. This faciliates QNX compiling the common code since phys_addr_t is a Linux specific type. JIRA NVGPU-30 JIRA NVGPU-226 Change-Id: I15fe2078f9cd0b07c7e90ad6e359c493afa56714 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1576432 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Split VIDMEM support from mm_gk20a.cAlex Waterman2017-10-10
| | | | | | | | | | | | | | | | | | | | | | | | | | | Split VIDMEM support into its own code files organized as such: common/mm/vidmem.c - Base vidmem support common/linux/vidmem.c - Linux specific user-space interaction include/nvgpu/vidmem.h - Vidmem API definitions Also use the config to enable/disable VIDMEM support in the makefile and remove as many CONFIG_GK20A_VIDMEM preprocessor checks as possible from the source code. And lastly update a while-loop that iterated over an SGT to use the new for_each construct for iterating over SGTs. Currently this organization is not perfectly adhered to. More patches will fix that. JIRA NVGPU-30 JIRA NVGPU-138 Change-Id: Ic0f4d2cf38b65849c7dc350a69b175421477069c Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1540705 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: 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: Remove mapping of comptags to user VATerje Bergstrom2017-09-07
| | | | | | | | | | | | | | Remove the kernel feature to map compbit backing store areas to GPU VA. The feature is not used, and the relevant user space code is getting removed, too. Change-Id: I94f8bb9145da872694fdc5d3eb3c1365b2f47945 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1547898 Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Sami Kiminki <skiminki@nvidia.com> Reviewed-by: Alex Waterman <alexw@nvidia.com> Reviewed-by: Automatic_Commit_Validation_User
* gpu: nvgpu: Replace kref for refcounting in nvgpuDebarshi Dutta2017-08-24
| | | | | | | | | | | | | | | | - added wrapper struct nvgpu_ref over nvgpu_atomic_t - added nvgpu_ref_* APIs to access the above struct JIRA NVGPU-140 Change-Id: Id47f897995dd4721751f7610b6d4d4fbfe4d6b9a Signed-off-by: Debarshi Dutta <ddutta@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1540899 Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
* gpu: nvgpu: Remove support for old kernel versionTerje Bergstrom2017-08-22
| | | | | | | | | | | Remove support for pre-4.4 kernels. This allows deleting the checks for kernel version, and usage of linux/version.h. Change-Id: I4d6cb30512ea164d27549f4f4d096e5931bb1379 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1543499 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Add wrapper over atomic_t and atomic64_tDebarshi Dutta2017-08-17
| | | | | | | | | | | | | | | | | - added wrapper structs nvgpu_atomic_t and nvgpu_atomic64_t over atomic_t and atomic64_t - added nvgpu_atomic_* and nvgpu_atomic64_* APIs to access the above wrappers. JIRA NVGPU-121 Change-Id: I61667bb0a84c2fc475365abb79bffb42b8b4786a Signed-off-by: Debarshi Dutta <ddutta@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1533044 Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com> Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> GVS: Gerrit_Virtual_Submit
* gpu: nvgpu: Increase small page apertureAlex Waterman2017-08-07
| | | | | | | | | | | | | Increase the small page aperture to 56GB to facilitate easier fixed address mapping for userspace (primarily CUDA). Bug 200320732 Change-Id: I1f0aaa4f28c8a294cc880b35f26942b562396b48 Signed-off-by: Sunny He <suhe@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1502432 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: Make LTC disabling common codeTerje Bergstrom2017-08-04
| | | | | | | | | | | | | | | | | | Refactor the sync_debugfs LTC HAL op so that the logic to enable or disable LTC goes to common code nvgpu_ltc_sync_enabled() and the LTC HAL set_enabled only performs the hardware register access. Create a new common function nvgpu_init_ltc_support() to initialize the LTC software variable, and move hardware initialization of LTC to be called from it. JIRA NVGPU-62 Change-Id: Ib1cf4f5b83ca3dac08407464ed56a732e0a33923 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1528262 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: add ops and var for t19x mmu faultSeema Khowala2017-07-08
| | | | | | | | | | | | | Add new ops and fields required for t19x mmu fault JIRA GPUT19X-7 JIRA GPUT19X-12 Change-Id: I29694c15ff9a4150bb1737adac6b58ccba76bea4 Signed-off-by: Seema Khowala <seemaj@nvidia.com> Reviewed-on: https://git-master/r/1492640 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@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: Remove gk20a supportTerje Bergstrom2017-06-30
| | | | | | | | | | | | Remove gk20a support. Leave only gk20a code which is reused by other GPUs. JIRA NVGPU-38 Change-Id: I3d5f2bc9f71cd9f161e64436561a5eadd5786a3b Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master/r/1507927 GVS: Gerrit_Virtual_Submit
* gpu: nvgpu: rename hw_chid to chidRichard Zhao2017-06-30
| | | | | | | | | | | | | hw_chid is a relative id for vgpu. For native it's same as hw id. Renaming it to chid to avoid confusing. Jira VFND-3796 Change-Id: I1c7924da1757330ace715a7c52ac61ec9dc7065c Signed-off-by: Richard Zhao <rizhao@nvidia.com> Reviewed-on: https://git-master/r/1509530 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Separate GMMU mapping impl from mm_gk20a.cAlex Waterman2017-06-06
| | | | | | | | | | | | | | | Separate the non-chip specific GMMU mapping implementation code out of mm_gk20a.c. This puts all of the chip-agnostic code into common/mm/gmmu.c in preparation for rewriting it. JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: I6f7fdac3422703f5e80bb22ad304dc27bba4814d Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1480228 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* 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: Unify vm_init for vGPU and regular GPUAlex Waterman2017-06-06
| | | | | | | | | | | | | | | | | Unify the initialization routines for the vGPU and regular GPU paths. This helps avoid any further code divergence. This also assumes that the code running on the regular GPU essentially works for the vGPU. The only addition is that the regular GPU path calls an API in the vGPU code that sends the necessary RM server message. JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: I37af1993fd8b50f666ae27524d382cce49cf28f7 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1480226 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: split vidmem_is_vidmemKonsta Holtta2017-06-06
| | | | | | | | | | | | | | | | | | | | | As the vidmem_is_vidmem flag has got two separate meanings in one bit, split it in two bits into the enabled() API: Add NVGPU_MM_HONORS_APERTURE bit, which is the same as vidmem_is_vidmem with its original meaning, and use it to test which aperture bits to write to hardware. Add NVGPU_MM_UNIFIED_MEMORY bit, which has the opposite meaning: that the GPU shares the SoC memory. When this flag is false, the GPU has its own local video memory. Jira NVGPU-86 Change-Id: I2d0bed3b1ede5a712be99323d3035b154bb23c3a Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/1496080 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: move debugfs code to linux moduleDeepak Nibade2017-06-02
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Since all debugfs code is Linux specific, remove it from common code and move it to Linux module Debugfs code is now divided into below module specific files : common/linux/debug.c common/linux/debug_cde.c common/linux/debug_ce.c common/linux/debug_fifo.c common/linux/debug_gr.c common/linux/debug_mm.c common/linux/debug_allocator.c common/linux/debug_kmem.c common/linux/debug_pmu.c common/linux/debug_sched.c Add corresponding header files for above modules too And compile all of above files only if CONFIG_DEBUG_FS is set Some more details of the changes made - Move and rename gk20a/debug_gk20a.c to common/linux/debug.c - Move and rename gk20a/debug_gk20a.h to include/nvgpu/debug.h - Remove gm20b/debug_gm20b.c and gm20b/debug_gm20b.h and call gk20a_init_debug_ops() directly from gm20b_init_hal() - Update all debug APIs to receive struct gk20a as parameter instead of receiving struct device pointer - Update API gk20a_dmabuf_get_state() to receive struct gk20a pointer instead of struct device - Include <nvgpu/debug.h> explicitly in all files where debug operations are used - Remove "gk20a/platform_gk20a.h" include from HAL files which no longer need this include - Add new API gk20a_debug_deinit() to deinitialize debugfs and call it from gk20a_remove() - Move API gk20a_debug_dump_all_channel_status_ramfc() to gk20a/fifo_gk20a.c Jira NVGPU-62 Change-Id: I076975d3d7f669bdbe9212fa33d98529377feeb6 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/1488902 Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Bharat Nihalani <bnihalani@nvidia.com>
* gpu: nvgpu: use mmu_fault_info struct for legacy gpu chipsSeema Khowala2017-05-30
| | | | | | | | | | | | | | | Removed fifo_mmu_fault_info_gk20a struct to use new mmu_fault_info struct JIRA GPUT19X-7 JIRA GPUT19X-12 Change-Id: I1987ff1b07e7dbdbee58d7e5f585faacf4846e54 Signed-off-by: Seema Khowala <seemaj@nvidia.com> Reviewed-on: http://git-master/r/1487240 Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@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: Refactor gk20a_vm_alloc_va()Alex Waterman2017-05-24
| | | | | | | | | | | | | | | | This function is an internal function to the VM manager that allocates virtual memory space in the GVA allocator. It is unfortunately used in the vGPU code, though. In any event, this patch cleans up and moves the implementation of these functions into the VM common code. JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: I24a3d29b5fcb12615df27d2ac82891d1bacfe541 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1477745 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Split vm_area management into vm codeAlex Waterman2017-05-19
| | | | | | | | | | | | | | | | | | | | | | | | | | The vm_reserve_va_node struct is essentially a special VM area that can be used for sparse mappings and fixed mappings. The name of this struct is somewhat confusing (as node is typically used for list items). Though this struct is a part of a list it doesn't really make sense to call this a list item since it's much more. Based on that the struct has been renamed to nvgpu_vm_area to capture the actual use of the struct more accurately. This also moves all of the management code of vm areas to a new file devoted solely to vm_area management. Also add a brief overview of the VM architecture. This should help other people follow along the hierachy of ownership and lifetimes in the rather complex MM code. JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: If85e1cf868031d0dc265e7bed50b58a2aed2602e Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1477744 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@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: Separate GMMU out of mm_gk20a.cAlex Waterman2017-05-11
| | | | | | | | | | | | | | | Begin moving (and renaming) the GMMU code into common/mm/gmmu.c. This block of code will be responsible for handling the platform/OS independent GMMU operations. JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: Ide761bab75e5d84be3dcb977c4842ae4b3a7c1b3 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1464083 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Move and rename gk20a_sgtable*Alex Waterman2017-04-25
| | | | | | | | | | | | | | | | | Move and rename the functions that build sgtables for nvgpu_mems into the Linux specific DMA code. One place outside of the Linux code do include the Linux DMA header. That will be fixed in a subsequent patch. JIRA NVGPU-12 JIRA NVGPU-30 Change-Id: Ie43c752b8f998f122af70f7c7eb727af0b0d98df Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/1464078 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: ModeE perfbuffer feature developmentPeter Daifuku2017-04-19
| | | | | | | | | | | | | | | | | | perfbuf mapping fixes: - Allocate VM specifically for perfbuf use: using the PMU's results in mmu faults for larger buffers where 64k pages are used. - Make 4GB boundary check work for large address spaces - remove requirement to have allow_all flag set - track perfbuf ownership and clean up appropriately Bug 1880196 JIRA EVLR-1074 Change-Id: Ieee4eb17b64acf9b6ede37bf8e6a91892cda4a7e Signed-off-by: Peter Daifuku <pdaifuku@nvidia.com> Reviewed-on: http://git-master/r/1460809 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
generated by cgit v1.2.2 (git 2.25.0) at 2024-07-04 21:31:35 -0400