Implement support for 64kB large page size. Add an API to create an
address space via IOCTL so that we can accept flags, and assign one
flag for enabling 64kB large page size.
Also adds APIs to set per-context large page size. This is possible
only on Maxwell, so return error if caller tries to set large page
size on Kepler.
Default large page size is still 128kB.
Change-Id: I20b51c8f6d4a984acae8411ace3de9000c78e82f
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
The return value of gk20a_busy must be checked since it may not succeed
in some cases. Add the __must_check attribute that generates a compiler
warning for code that does not read the return value and fix all uses of
the function to take error cases into account.
Bug 200040921
Change-Id: Ibc2b119985fa230324c88026fe94fc5f1894fe4f
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/542552
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
Move nvgpu ioctls from the many user space interface headers to a new
single nvgpu.h header under include/uapi. No new code or replaced names
are introduced; this change only moves the definitions and changes
include directives accordingly.
Bug 1434573
Change-Id: I4d02415148e437a4e3edad221e08785fac377e91
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/542651
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
To help remove the nvhost dependency from nvgpu, rename ioctl defines
and structures used by nvgpu such that nvhost is replaced by nvgpu.
Duplicate some structures as needed.
Update header guards and such accordingly.
Change-Id: Ifc3a867713072bae70256502735583ab38381877
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/542620
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
Proper error number for invalid request number is EINVAL instead of
EFAULT, so change it in ioctl calls.
Change-Id: I8fddd34e012700550e9e30fe17ba7152b3a0417b
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/542563
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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>
Add gk20a as a sub power domain of host1x. This enforces keeping
host1x on when using gk20a.
Bug 200003112
Change-Id: I08db595bc7b819d86d33fb98af0d8fb4de369463
Signed-off-by: Arto Merilainen <amerilainen@nvidia.com>
Reviewed-on: http://git-master/r/407006
(cherry picked from commit 009812b3e510518740e9c7e89b8b8b80439fe26a)
Reviewed-on: http://git-master/r/408013
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
This patch addresses two issues in fixes offset mappings:
- VA unmapping did not use lists safely. This caused an application hang
if the application did not free all (fixed offset) buffers before quiting.
- GPU was not powered closing AS node. If the address space had areas that
were not freed, the driver tried to access hw without powering it up first.
Change-Id: Ida526d222ea4e03b8d765eca16574ddc1823e60d
Signed-off-by: Arto Merilainen <amerilainen@nvidia.com>
Reviewed-on: http://git-master/r/405872
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Add gk20a as a sub power domain of host1x. This enforces keeping
host1x on when using gk20a.
Bug 200003112
Change-Id: I08db595bc7b819d86d33fb98af0d8fb4de369463
Signed-off-by: Arto Merilainen <amerilainen@nvidia.com>
Reviewed-on: http://git-master/r/407543
Reviewed-by: Riham Haidar <rhaidar@nvidia.com>
Tested-by: Riham Haidar <rhaidar@nvidia.com>