membar.sys does synchronization with the whole system (GPU and CPU),
membar.gl does synchronization within the GPU.
In gv11b, fb flush is generating membar.gl instead of membar.sys, which
is an issue. To fix this issue. following WAR is used:
1. Use bar1 engine id and bind it to a particular pdb,
2. Then instead of a fb_flush, issue a tlb invalidate of the bar1 pdb.
Now allocation of vm for bar1 instance block and bar1 binding is done
without check for bar1 support. Only bar1 register mapping is done
based on bar1 support enabled.
Bug 2112790
Change-Id: I76f43f1178a68f10823d48bc9da55d2bd686dd52
Signed-off-by: seshendra Gadagottu <sgadagottu@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1750257
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
When generating the PTE size for a given mapping the code must
consider whether the GPU is being IOMMU'ed. The presence and
usage of an IOMMU implies the buffers will appear contiguous
to the GPU. Without an IOMMU we cannot assume that and therefor
must use small pages regardless of the size of the buffer to
be mapped.
Bug 2011640
Change-Id: I6c64cbcd8844a7ed855116754b795d949a3003af
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1697891
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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TSG/CHANNEL_SET_PRIORITY IOCTLs are deprecated and user space should be using
combination of timeslice and interleave levels to decide the priority
Hence remove the IOCTLs and all corresponding APIs
Jira NVGPU-393
Change-Id: I7cf0785689269536eca0c278c774b0e9e74f8c2f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1598581
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Simplify the copyengine code by deleting support for the
ce_event_callback feature that has never been used. Similarly, create a
channel without the finish callback to get rid of that Linux dependency,
and delete the finish callback function as it now serves no purpose.
Delete also the submitted_seq_number and completed_seq_number fields
that are only written to.
Jira NVGPU-259
Change-Id: I02d15bdcb546f4dd8895a6bfb5130caf88a104e2
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1589320
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-by: Alex Waterman <alexw@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>
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>
