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* gpu: nvgpu: add platform atomic supportVinod G2020-01-08
| | | | | | | | | | | | | | | | | | | | | | | | | Add new variable in nvgpu_as_map_buffer_ex_args for app to specify the platform atomic support for the page. When platform atomic attribute flag is set, pte memory aperture is set to be coherent type. renamed nvgpu_aperture_mask_coh -> nvgpu_aperture_mask_raw function. bug 200580236 Change-Id: I18266724dafdc8dfd96a0711f23cf08e23682afc Signed-off-by: Vinod G <vinodg@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/2012679 (cherry picked from commit 9e0a9004b71f92b7713fd3b30141b0d9d4cfa2c6) Signed-off-by: Lakshmanan M <lm@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/2274914 Reviewed-by: Deepak Nibade <dnibade@nvidia.com> GVS: Gerrit_Virtual_Submit Tested-by: Sreeniketh H <sh@nvidia.com> Reviewed-by: Bibek Basu <bbasu@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: move header location of gk20a.hDebarshi Dutta2018-09-25
| | | | | | | | | | | | | Update header path of gk20a.h in files present in common/ to <nvgpu/gk20a.h> Jira NVGPU-597 Change-Id: I3431dae93ada9bd561454c89a0b99c5292ab4a8d Signed-off-by: Debarshi Dutta <ddutta@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1832024 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* nvgpu: common: MISRA 10.1 boolean fixesAmulya2018-09-19
| | | | | | | | | | | | | | | | Fix violations where a variable of type non-boolean is used as a boolean in gpu/nvgpu/common. JIRA NVGPU-646 Change-Id: I9773d863b715f83ae1772b75d5373f77244bc8ca Signed-off-by: Amulya <Amurthyreddy@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1807132 GVS: Gerrit_Virtual_Submit Tested-by: Amulya Murthyreddy <amurthyreddy@nvidia.com> Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Fix MISRA 21.2 violations (nvgpu_mem.c, mm.c)Alex Waterman2018-09-12
| | | | | | | | | | | | | | | | MISRA 21.2 states that we may not use reserved identifiers; since all identifiers beginning with '_' are reserved by libc, the usage of '__' as a prefix is disallowed. Handle the 21.2 fixes for nvgpu_mem.c and mm.c; this deletes the '__' prefixes and slightly renames the __nvgpu_aperture_mask() function since there's a coherent version and a general version. Change-Id: Iee871ad90db3f2622f9099bd9992eb994e0fbf34 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1813623 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: common: fix MISRA Rule 10.4Sai Nikhil2018-08-29
| | | | | | | | | | | | | | | | | | | | | | | | | | MISRA Rule 10.4 only allows the usage of arithmetic operations on operands of the same essential type category. Adding "U" at the end of the integer literals to have same type of operands when an arithmetic operation is performed. This fix violations where an arithmetic operation is performed on signed and unsigned int types. In balloc_get_order_list() the argument "int order" has been changed to a u64 because all callers of this function pass a u64 argument. JIRA NVGPU-992 Change-Id: Ie2964f9f1dfb2865a9bd6e6cdd65e7cda6c1f638 Signed-off-by: Sai Nikhil <snikhil@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1784419 Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com> Reviewed-by: Adeel Raza <araza@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: common: mm: Fix MISRA 15.6 violationsSrirangan2018-08-17
| | | | | | | | | | | | | | | | | MISRA Rule-15.6 requires that all if-else blocks be enclosed in braces, including single statement blocks. Fix errors due to single statement if blocks without braces, introducing the braces. JIRA NVGPU-671 Change-Id: Ieeecf719dca9acc1a116d2893637bf770caf4f5b Signed-off-by: Srirangan <smadhavan@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1794241 GVS: Gerrit_Virtual_Submit Reviewed-by: Adeel Raza <araza@nvidia.com> Reviewed-by: Alex Waterman <alexw@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Add missing braces in nvgpu_mem.cTerje Bergstrom2018-08-11
| | | | | | | | | | | | | | | | When built with -Wmissing-braces, compiler complains about the missing braces in nvgpu_mem_rd_n, nvgpu_mem_wr_n and nvgpu_memset. Add the braces to satisfy compiler and to fix related MISRA C violations. Change-Id: Ibe3606dc59317f8230cea57cfea8d0fe5af641d6 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1796238 Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Vinod Gopalakrishnakurup <vinodg@nvidia.com> Reviewed-by: Scott Long <scottl@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Implement common nvgpu_mem_rd* functionsTerje Bergstrom2018-07-02
| | | | | | | | | | | | | | | | | nvgpu_mem_rd*() functions were implemented per OS. They also used nvgpu_pramin_access_batched() and implemented a big portion of logic for using PRAMIN in OS specific code. Make the implementation for the functions generic. Move all PRAMIN logic to PRAMIN and simplify the interface provided by PRAMIN. Change-Id: I1acb9e8d7d424325dc73314d5738cb2c9ebf7692 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1753708 Reviewed-by: Konsta Holtta <kholtta@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Check for all sysmem apertures in GMMUAlex Waterman2018-04-23
| | | | | | | | | | | | | | | | | | | | | | | | | | | | Allow a potential IOMMU'ed GMMU mapping for all SYSMEM buffers inlcuding coherent sysmem. Typically this won't actually happen since IO coherent mappings will also often be accessed over NVLINK which is physically addressed. Also update the comments surrounding this code to take into account the new NVLINK nuances. Since NVLINK buffers are directly mapped even when the IOMMU is enabled this is very deserving of a comment explaining what's going on. Lastly add some simple functions for checking if an nvgpu_mem (or a particular aperture field) is a sysmem aperture. Currently this includes SYSMEM and SYSMEM_COH. JIRA EVLR-2333 Change-Id: I992d3c25d433778eaad9eef338aa5aa42afe597e Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1665185 Reviewed-by: Automatic_Commit_Validation_User 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: 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: Cleanup usage of bypass_smmuAlex Waterman2018-02-02
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The GPU has multiple different operating modes in respect to IOMMU'ability. As such there needs to be a clean way to tell the driver whether it is IOMMU'able or not. This state also does not always reflect what is possible: all becasue the GPU can generate IOMMU'ed memory requests doesn't mean it wants to. The nvgpu_iommuable() API has now existed for a little while which is a useful way to convey whether nvgpu should consider the GPU as IOMMU'able. However, there is also the g->mm.bypass_smmu flag which used to be able to override what the GPU decided it should do. Typically it was assigned the same value as nvgpu_iommuable() but that was not necessarily a requirment. This patch removes all the usages of g->mm.bypass_smmu and instead uses the nvgpu_iommuable() function. All places where the check against g->mm.bypass_smmu have been replaced with nvgpu_iommuable(). The code should now be much cleaner. Subsequently other checks can also be placed in the nvgpu_iommuable() function. For example, when NVLINK comes online and the GPU should no longer consider DMA addresses and instead use scatter-gather lists directly the ngpu_iommuable() function will be able to check the state of NVLINK and then act accordingly. Change-Id: I0da6262386de15709decac89d63d3eecfec20cd7 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1648332 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Add nvgpu/bug.h include to some MM filesAlex Waterman2017-11-30
| | | | | | | | | | | | | | | | | | Add <nvgpu/bug.h> to MM files that use any of the BUG, BUG_ON, WARN, WARN_ON, etc, macros but do not yet include <nvgpu/bug.h>. JIRA NVGPU-401 Change-Id: I538219683d2a52b15abf147ff4bcf6375b6cb8a0 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1599960 Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: David Martinez Nieto <dmartineznie@nvidia.com> Reviewed-by: Deepak Nibade <dnibade@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: Make buf alignment genericAlex Waterman2017-11-10
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Drastically simplify and move the aligment computation for buffers getting mapped into the SGT code. An SGT is all that is needed for computing the alignment. However, this did require that a new SGT op was added: nvgpu_sgt_iommuable() This function returns true if the passed SGT is IOMMU'able and must be implemented by an SGT implementation that has IOMMU'able buffers. If this function is left as NULL then it is assumed that the buffer is not IOMMU'able. Also cleanup the parameter ordering convention among all nvgpu_sgt functions. Previously there was a mishmash of different parameter orderings. This patch now standardizes on the gk20a first approach seen everywhere else in the driver. JIRA NVGPU-30 JIRA NVGPU-246 JIRA NVGPU-71 Change-Id: Ic4ab7b752847cf795c7cfafed5a07818217bba86 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1583985 Reviewed-by: Automatic_Commit_Validation_User 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: Rename vidmem APIsAlex Waterman2017-10-13
| | | | | | | | | | | | | | | Rename the VIDMEM APIs to be prefixed by nvgpu_ to ensure consistency and that all the non-static vidmem functions are properly namespaced. JIRA NVGPU-30 JIRA NVGPU-138 Change-Id: I9986ee8f2c8f95a4b7c5e2b9607bc1e77933ccfc Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1540707 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: Fix license of nvgpu_mem and pmu_debugTerje Bergstrom2017-10-03
| | | | | | | | | | | | | | | nvgpu_mem and pmu_debug should be MIT licensed. Change the license boilerplate. JIRA NVGPU-218 Change-Id: I7750368674faa4c4e8bf071e136b80fd53d9a0c4 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1568779 Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-by: Alex Waterman <alexw@nvidia.com> Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Konsta Holtta <kholtta@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>
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