Deepak Nibade 713f1ddcdf gpu: nvgpu: support pramin access for non-contiguous vidmem ...

API pramin_access_batched() currenly only supports contiguous
allocations.
Modify this API to support non-contiguous allocations from
page allocator as well

Update gk20a_mem_wr32() and gk20a_mem_rd32()to reuse
pramin_access_batched()

Use gk20a_memset() in gk20a_gmmu_free_attr_vid() to clear
vidmem pages for kernel buffers

Jira DNVGPU-30

Change-Id: I43630912f4837d8ebc6b9c58f4f427218ef9725b
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: http://git-master/r/1204303
(cherry picked from commit 2f84f141d02fd2f641cb18a48896fb3ae5f7e51f)
Reviewed-on: http://git-master/r/1210954
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>

2016-09-01 09:11:07 -07:00

..

nvgpu

gpu: nvgpu: support pramin access for non-contiguous vidmem

2016-09-01 09:11:07 -07:00