| Commit message (Collapse) | Author | Age |
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Add abstraction of IO aperture accessors. Add new functions
gk20a_io_exists() and gk20a_io_valid_reg() to remove dependencies to
aperture fields from common code.
Implement Linux version of the abstraction by moving gk20a_readl()
and gk20a_writel() to new Linux specific io.c. Move the fields
defining IO aperture to nvgpu_os_linux.
Add t19x specific IO aperture initialization functions and add t19x
specific section to nvgpu_os_linux.
JIRA NVGPU-259
Change-Id: I09e79cda60d11a20d1099a9aaa6d2375236e94ce
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1569698
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Reduce the usage of nvgpu_vidmem_get_page_alloc() and friends as much
as possible. This reduces the dependency of nvgpu on Linux SGLs. SGLs
still need to be used, however, since sharing buffers in userspace is
done by dma_buf FD. The best way to pass the vidmem buf through the
dma_buf is by SGL pointer.
JIRA NVGPU-30
JIRA NVGPU-138
Change-Id: Ide0e9e5a557f00aa63b063be085042101a5b34ee
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1540709
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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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>
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PRAMIN batch access functions are only used by nvgpu_mem. The way
the functions are written is Linux specific, so move the
implementation from common PRAMIN code.
JIRA NVGPU-259
Change-Id: I6e2aba08c98568c651a86fe8ca7f9f5220d67348
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1569697
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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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>
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Add a macro to iterate across nvgpu_sgts. This makes it easier on
developers who may accidentally forget to move to the next SGL.
JIRA NVGPU-243
Change-Id: I90154a5d23f0014cb79bbcd5b6e8d8dbda303820
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1566627
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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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>
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This change solves crashes during bind that were introduced in the driver
during the OS unification refactoring due to lack of coverage of the remove()
function.
The fixes during remove are:
(1) Prevent NULL dereference on GPUs with secure boot
(2) Prevent NULL dereferences when fecs_trace is not enabled
(3) Added PRAMIN blocker during driver removal if HW is no longer accesible
(4) Prevent double free of debugfs nodes as they are handled on the
debugfs_remove_recursive() call
(5) quiesce() can now be called without checking is HW accesible flag is set
(6) added function to free irq so no IRQ association is left on the driver after
it is removed
(7) prevent NULL dereference on nvgpu_thread_stop() if the thread is already
stopped
JIRA: EVLR-1739
Change-Id: I787d38f202d5267a6b34815f23e1bc88110e8455
Signed-off-by: David Nieto <dmartineznie@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1563005
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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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>
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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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The offset units in the nvgpu_pramin_access_batched() code changes
midway through the function. In the first section it is treated as
bytes but then in the while-loop iterating over the PRAMIN window
and page_alloc_chunks it becomes an offset in words.
This patch leaves the offset field in bytes and converts to words
where needed.
Change-Id: Iba964171679dfc27645238b297ed467a450b5cbc
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1537079
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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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>
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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>
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Use nvgpu list APIs instead of linux list APIs
to store chunks of page allocator
Jira NVGPU-13
Change-Id: I63375fc2df683e018c48a90b76eca368438cc32f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: http://git-master/r/1326814
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Split out the pramin interface code in preparation for splitting
out the mem_desc code.
JIRA NVGPU-12
Change-Id: I3f03447ea213cc15669b0934fa706e7cb22599b7
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1323323
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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