Commit graph

5 commits

Author SHA1 Message Date
Siva Durga Prasad Paladugu
26e054c943 arm64: versal: fpga: Add PL bit stream load support
This patch adds PL bitstream load support for Versal platform. The PL
bitstream is loaded by making an SMC to ATF which in turn communicates
with platform firmware which configures and loads PL bitstream on to PL.

Signed-off-by: Siva Durga Prasad Paladugu <siva.durga.paladugu@xilinx.com>
Signed-off-by: Michal Simek <michal.simek@xilinx.com>
2019-10-08 09:11:14 +02:00
Siva Durga Prasad Paladugu
bfd092f9ca arm64: versal: Define board_late_init for versal
Define board_late_init which performs bootmode detection
and prepares corresponding distro boot commaand sequence.

Also disable it for mini platforms because simply there is no need to have
it enabled.
But also disable it for virtual platform because Qemu is not modelling this
register space that's why travis testing would fail. This configuration
should be reverted when mainline Qemu is updated.

Signed-off-by: Siva Durga Prasad Paladugu <siva.durga.paladugu@xilinx.com>
Signed-off-by: Michal Simek <michal.simek@xilinx.com>
2019-10-08 09:11:14 +02:00
Michal Simek
47a766f950 arm64: versal: Move IOU_SWITCH_DIVISOR0 to Kconfig
Move hardcoded IOU_SWITCH_DIVISOR0 to Kconfig to be able to set it up
for different platforms.

Signed-off-by: Michal Simek <michal.simek@xilinx.com>
2019-02-14 14:31:10 +01:00
Michal Simek
fb771793bd arm64: versal: Remove one level of indentation in board_early_init_r()
Simplify code indentation.

Signed-off-by: Michal Simek <michal.simek@xilinx.com>
2019-02-14 14:31:10 +01:00
Michal Simek
ec48b6c991 arm64: versal: Add support for new Xilinx Versal ACAPs
Xilinx is introducing Versal, an adaptive compute acceleration platform
(ACAP), built on 7nm FinFET process technology. Versal ACAPs combine
Scalar Processing Engines, Adaptable Hardware Engines, and Intelligent
Engines with leading-edge memory and interfacing technologies to deliver
powerful heterogeneous acceleration for any application. The Versal AI
Core series has five devices, offering 128 to 400 AI Engines. The series
includes dual-core Arm Cortex™-A72 application processors, dual-core Arm
Cortex-R5 real-time processors, 256KB of on-chip memory with ECC, more
than 1,900 DSP engines optimized for high-precision floating point with
low latency.

The patch is adding necessary infrastructure in place without enabling
platform which is done in separate patch.

Signed-off-by: Michal Simek <michal.simek@xilinx.com>
2018-10-16 16:53:21 +02:00