This patch adds support to identify the underlying platform
on which we are running. The currently supported platforms
are actual silicon and simulation platforms.
Change-Id: Iadf96e79ec663b3dbd1a18e9bb95ffcdb82fc8af
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
The platform power states, PLAT_MAX_RET_STATE and PLAT_MAX_OFF_STATE,
can change on Tegra SoCs and so should be defined per-soc.
This patch moves these macro definitions to individual SoC's tegra_def.h
files.
Change-Id: Ib9b2752bc4d79cef6f79bee49882d340f71977a2
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
This patch introduces a function to secure the on-chip TZRAM memory. The
Tegra132 and Tegra210 chips do not have a compelling use case to lock the
TZRAM. The trusted OS owns the TZRAM aperture on these chips and so it
can take care of locking the aperture. This might not be true for future
chips and this patch makes the TZRAM programming flexible.
Change-Id: I3ac9f1de1b792ccd23d4ded274784bbab2ea224a
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
The BL2 fills in the UART controller ID to be used as the normal as
well as the crash console on Tegra platforms. The controller ID to
UART controller base address mapping is handled by each Tegra SoC
the base addresses might change across Tegra chips.
This patch adds the handler to parse the platform params to get the
UART ID for the per-soc handlers.
Change-Id: I4d167b20a59aaf52a31e2a8edf94d8d6f89598fa
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
This patch modifies the Tegra port to support the new platform
APIs so that we can disable the compat layer. This includes
modifications to the power management and platform topology code.
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
This patch implements support for T132 (Denver CPU) based Tegra
platforms.
The following features have been added:
* SiP calls to switch T132 CPU's AARCH mode
* Complete PSCI support, including 'System Suspend'
* Platform specific MMIO settings
* Locking of CPU vector registers
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
Varun Wadekar