Switch all logging to nvgpu_log*(). gk20a_dbg* macros are
intentionally left there because of use from other repositories.
Because the new functions do not work without a pointer to struct
gk20a, and piping it just for logging is excessive, some log messages
are deleted.
Change-Id: I00e22e75fe4596a330bb0282ab4774b3639ee31e
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1704148
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
Most of VGPU code is linux specific but lies in common code
So until VGPU code is properly abstracted and made os-independent,
move all of VGPU code to linux specific directory
Handle corresponding Makefile changes
Update all #includes to reflect new paths
Add GPL license to newly added linux files
Jira NVGPU-387
Change-Id: Ic133e4c80e570bcc273f0dacf45283fefd678923
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1599472
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>
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>
Instead of calling the native HAL init function then adding
multiple layers of modification for VGPU, flatten out the sequence
so that all entry points are set statically and visible in a
single file.
JIRA ESRM-30
Change-Id: Ie424abb48bce5038874851d399baac5e4bb7d27c
Signed-off-by: Peter Daifuku <pdaifuku@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1574616
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
Move vgpu private data to a dedicated structure and allocate it
at probe time. Also add virt_handle helper function which is used
everywhere.
JIRA VFND-2103
Change-Id: I125911420be72ca9be948125d8357fa85d1d3afd
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: http://git-master/r/1185206
GVS: Gerrit_Virtual_Submit
Reviewed-by: Vladislav Buzov <vbuzov@nvidia.com>
Client OS was accessing gpu registers directly, resulting in a crash:
- Use gk20a version of init_gpu_characteristics
- Set cbc_ctrl callback to NULL
Bug 1749990
Bug 1749896
Change-Id: I7e5eea52c5d1d0c2ca7ca5e4d34dc4fc21f4e093
Signed-off-by: Peter Daifuku <pdaifuku@nvidia.com>
Reviewed-on: http://git-master/r/1120473
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
Restore comptags to be bitmap-allocated, like they were before we had
the buddy allocator.
The new buddy allocator introduced by
e99aa2485f8992eabe3556f3ebcb57bdc8ad91ff (originally
6ab2e0c49cb79ca68d2f83f1d4610783d2eaa79b) is fine for the big VAs, but
unsuitable for the small compbit store.
This commit reverts partially the combination of the above commit and
also one after it, 86fc7ec9a05999bea8de320840b962db3ee11410, that fixed
a bug which is not present when using a bitmap. With a bitmap allocator,
pruning the extra allocation necessary for user-mapped mode is possible,
so that is also restored.
The original generic bitmap allocator is not restored; instead, a
comptag-only allocator is introduced.
Bug 200145635
Change-Id: I87f3a911826a801124cfd21e44857dfab1c3f378
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/837180
(cherry picked from commit 5a504aeb54f3e89e6561932971158a397157b3f2)
Reviewed-on: http://git-master/r/839742
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
This reverts commit ce1cf06b9a8eb6314ba0ca294e8cb430e1e141c0 since
it causes GPU pbdma interrupt to be generated.
Bug 200106514
Change-Id: If3ed9a914c4e3e7f3f98c6609c6dbf57e1eb9aad
Signed-off-by: Bharat Nihalani <bnihalani@nvidia.com>
Reviewed-on: http://git-master/r/749291
Implement a new buddy allocation scheme for the GPU's VA space.
The bitmap allocator was using too much memory and is not a scaleable
solution as the GPU's address space keeps getting bigger. The buddy
allocation scheme is much more memory efficient when the majority
of the address space is not allocated.
The buddy allocator is not constrained by the notion of a split
address space. The bitmap allocator could only manage either small
pages or large pages but not both at the same time. Thus the bottom
of the address space was for small pages, the top for large pages.
Although, that split is not removed quite yet, the new allocator
enables that to happen.
The buddy allocator is also very scalable. It manages the relatively
small comptag space to the enormous GPU VA space and everything in
between. This is important since the GPU has lots of different sized
spaces that need managing.
Currently there are certain limitations. For one the allocator does
not handle the fixed allocations from CUDA very well. It can do so
but with certain caveats. The PTE page size is always set to small.
This means the BA may place other small page allocations in the
buddies around the fixed allocation. It does this to avoid having
large and small page allocations in the same PDE.
Change-Id: I501cd15af03611536490137331d43761c402c7f9
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/740694
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
Convert GR and LTC HALs to use const structs, and initialize them
with macros.
Bug 1567274
Change-Id: Ia3f24a5eccb27578d9cba69755f636818d11275c
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/590371
The nvgpu driver now supports using the Tegra graphics virtualization
interfaces to support gk20a in a virtualized environment.
Bug 1509608
Change-Id: I6ede15ee7bf0b0ad8a13e8eb5f557c3516ead676
Signed-off-by: Aingara Paramakuru <aparamakuru@nvidia.com>
Reviewed-on: http://git-master/r/440122
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
