The GPU is the real consumer of the video protected memory region
and it needs to be in reset to pick up the new region.
This patch checks if the GPU is in reset before we program the new
video protected memory region settings.
Change-Id: I44f553bfcf07b1975abad53b245954be966c8aeb
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
Tegra186 has an on-die, 320KB, "System RAM" memory. Out of the total
size, 256KB are allocated for the CPU TrustZone binaries - EL3 monitor
and Trusted OS.
This patch changes the base address for bl31.bin to the SysRAM base
address. The carveout is too small for the Trusted OS, so we relocate
only the monitor binary.
Change-Id: Ib4b667ff2a7a619589851338f9d0bfb02078c575
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
The CPU Complex (CCPLEX) Power Manager (Denver MCE, or DMCE) is an
offload engine for BPMP to do voltage related sequencing and for
hardware requests to be handled in a better latency than BPMP-firmware.
There are two interfaces to the MCEs - Abstract Request Interface (ARI)
and the traditional NVGINDEX/NVGDATA interface.
MCE supports various commands which can be used by CPUs - ARM as well
as Denver, for power management and reset functionality. Since the
linux kernel is the master for all these scenarios, each MCE command
can be issued by a corresponding SMC. These SMCs have been moved to
SiP SMC space as they are specific to the Tegra186 SoC.
Change-Id: I67bee83d2289a8ab63bc5556e5744e5043803e51
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
Tegra186 is the newest SoC in the Tegra family which consists
of two CPU clusters - Denver and A57. The Denver cluster hosts
two next gen Denver15 CPUs while the A57 cluster hosts four ARM
Cortex-A57 CPUs. Unlike previous Tegra generations, all the six
cores on this SoC would be available to the system at the same
time and individual clusters can be powered down to conserve
power.
Change-Id: Id0c9919dbf5186d2938603e0b11e821b5892985e
Signed-off-by: Wayne Lin <wlin@nvidia.com>
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
Varun Wadekar