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* gpu: nvgpu: T18x supportKenneth Adams2015-03-18
| | | | | | | | | | nvgpu framework and build for T18x Bug 1567274 Change-Id: I77835302a1110573008869d1106eface512bb9b1 Signed-off-by: Ken Adams <kadams@nvidia.com> Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Add ioctl to create new TSGTerje Bergstrom2015-03-18
| | | | | | | | | Add ioctl to nvhost-ctrl to create a new TSG. Bug 200042993 Change-Id: Icdd0edb1d9e374740ace6da9eb3a10c57c62617a Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Implement 64k large page supportTerje Bergstrom2015-03-18
| | | | | | | | | | | | | | | 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>
* include: uapi: fix nvgpu.h comments and bitsKonsta Holtta2015-03-18
| | | | | | | | | | | | | Correct some old comments and remove uses of the BIT macro to make it easier to sync this file to userspace. Change-Id: Ie897fc73e28b8194e0c5357eef7ae233395e9ba3 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/552916 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Lauri Peltonen <lpeltonen@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: create new nvgpu ioctl headerKonsta Holtta2015-03-18
| | | | | | | | | | | | | | | 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>
* video: tegra: virt: add virtualization interfacesAingara Paramakuru2015-03-18
| | | | | | | | | | | | | | | Tegra graphics virtualization (host1x syncpoint and gpu) is now exposed to client drivers (nvhost and nvgpu). These interfaces rely on a communication framework to communicate with the server driver that actually implements the back-end routines. Bug 1509608 Change-Id: I5277f4b024953772a2215d33afa178162f5f9232 Signed-off-by: Aingara Paramakuru <aparamakuru@nvidia.com> Reviewed-on: http://git-master/r/440120 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Add rail gating trace eventsTerje Bergstrom2015-03-18
| | | | | | | Change-Id: I661f14b2858fb7bc993157a597d4a278859da837 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/418789 Reviewed-by: Automatic_Commit_Validation_User
* video: tegra: host: Abstract gk20a channel synchronizationLauri Peltonen2015-03-18
| | | | | | | | | | | | | | | | Move all channel synchronization code to new channel_sync_gk20a.c/h files, and access all synchronization functions through function pointers. This is groundwork for supporting semaphore based channel synchronization. Bug 1434573 Bug 1450122 Change-Id: Ic21709c1ee8cf85d018616787988e7eebb399fbe Signed-off-by: Lauri Peltonen <lpeltonen@nvidia.com> Reviewed-on: http://git-master/r/374841 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* video: tegra: host: gk20a: Add own trace eventsArto Merilainen2015-03-18
This patch modifies gk20a driver to use its own trace events instead of trace events of nvhost. Bug 1468086 Change-Id: I1f40ba957ec7e25904e9f4621346cb7dc256a550 Signed-off-by: Arto Merilainen <amerilainen@nvidia.com> Reviewed-on: http://git-master/r/374289 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>