| #
6db8e178 |
| 19-Oct-2016 |
Stephen Warren <swarren@nvidia.com> |
ARM: tegra: ensure nvtboot_boot_x0 alignment
nvtboot_boot_x0 is a 64-bit variable and hence must be 64-bit aligned.
So far this has happened by accident! Fix the code so this is guaranteed.
This fi
ARM: tegra: ensure nvtboot_boot_x0 alignment
nvtboot_boot_x0 is a 64-bit variable and hence must be 64-bit aligned.
So far this has happened by accident! Fix the code so this is guaranteed.
This fixes the following build error:
... relocation truncated to fit: R_AARCH64_LDST64_ABS_LO12_NC
against symbol `nvtboot_boot_x0' ...
Signed-off-by: Stephen Warren <swarren@nvidia.com>
Signed-off-by: Tom Warren <twarren@nvidia.com>
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| #
2a5f7f20 |
| 18-Jul-2016 |
Stephen Warren <swarren@nvidia.com> |
ARM: tegra: pick up actual memory size
On Tegra186, U-Boot is booted by the binary firmware as if it were a
Linux kernel. Consequently, a DTB is passed to U-Boot. Cache the address
of that DTB, and
ARM: tegra: pick up actual memory size
On Tegra186, U-Boot is booted by the binary firmware as if it were a
Linux kernel. Consequently, a DTB is passed to U-Boot. Cache the address
of that DTB, and parse the /memory/reg property to determine the actual
RAM regions that U-Boot and subsequent EL2/EL1 SW may actually use.
Given the binary FW passes a DTB to U-Boot, I anticipate the suggestion
that U-Boot use that DTB as its control DTB. I don't believe that would
work well, so I do not plan to put any effort into this. By default the
FW-supplied DTB is the L4T kernel's DTB, which uses non-upstreamed DT
bindings. U-Boot aims to use only upstreamed DT bindings, or as close as
it can get. Replacing this DTB with a DTB using upstream bindings is
physically quite easy; simply replace the content of one of the GPT
partitions on the eMMC. However, the binary FW at least partially relies
on the existence/content of some nodes in the DTB, and that requires the
DTB to be written according to downstream bindings. Equally, if U-Boot
continues to use appended DTBs built from its own source tree, as it does
for all other Tegra platforms, development and deployment is much easier.
Signed-off-by: Stephen Warren <swarren@nvidia.com>
Signed-off-by: Tom Warren <twarren@nvidia.com>
show more ...
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