- 20 Mar, 2017 5 commits
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Varun Wadekar authored
This patch sets the Memory Controller's TXN_OVERRIDE registers for most write clients to CGID_ADR. This ensures ordering is maintained. In some cases WAW ordering problems could occur. There are different settings for Tegra version A01 v A02. Original changes by Alex Waterman <alexw@nvidia.com> Change-Id: I82ea02afa43a24250ed56985757b83e78e71178c Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
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Varun Wadekar authored
This patch adds support for the C6 and C7 CPU_SUSPEND states. C6 is an idle state while C7 is a powerdown state. The MCE block takes care of the entry/exit to/from these core power states and hence we call the corresponding MCE handler to process these requests. The NS driver passes the tentative time that the core is expected to stay in this state as part of the power_state parameter, which we store in a per-cpu array and pass it to the MCE block. Change-Id: I152acb11ab93d91fb866da2129b1795843dfa39b Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
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Varun Wadekar authored
This patch programs the Memory controller's control registers to disable non-secure accesses to the TZRAM. In case these registers are already programmed by the BL2/BL30, then the driver just bails out. Change-Id: Ia1416988050e3d067296373060c717a260499122 Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
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Varun Wadekar authored
This patch adds support for the newer platform handler functions. Commit I6db74b020b141048b6b8c03e1bef7ed8f72fd75b merges the upstream code which has already moved all the upstream supported platforms over to these handler functions. Change-Id: I621eff038f3c0dc1b90793edcd4dd7c71b196045 Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
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Varun Wadekar authored
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>
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