Removes duplicated definition of PAYLOAD_ARG_CNT and define it in the
firmware driver. Additionally fixes payload buffer declarations without
macro usage
Signed-off-by: Ibai Erkiaga <ibai.erkiaga-elorza@xilinx.com>
Signed-off-by: Michal Simek <michal.simek@xilinx.com>
The PM return payload size is defined as 4 bytes for Versal arquitecture
while the PM calls implemented both in the Versal clock driver and
ZynqMP firmware driver expects 5 bytes length.
Signed-off-by: Ibai Erkiaga <ibai.erkiaga-elorza@xilinx.com>
Signed-off-by: Michal Simek <michal.simek@xilinx.com>
versal_pm_request() and invoke_smc() are almost the same. Only one
difference is that versal_pm_request is adding PM_SIP_SVC offset to api_id.
The patch is moving platform implementation to firmware driver code for
synchronization.
Signed-off-by: Michal Simek <michal.simek@xilinx.com>
Reviewed-by: Luca Ceresoli <luca@lucaceresoli.net>
This patch adds clock driver support for Versal platform. The clock driver
queries and performs clock operations using PLM firmware by communicating
with it using SMC calls.
Signed-off-by: Siva Durga Prasad Paladugu <siva.durga.paladugu@xilinx.com>
Signed-off-by: Michal Simek <michal.simek@xilinx.com>
Code reads DT and setup MMU table based on memory node. This will ensure
that only DT needs to be changed.
Signed-off-by: Michal Simek <michal.simek@xilinx.com>
This patch adds new config option which is used for
reserving a specific memory for MMU Table and in this
case we are using TCM for that purpose.
Signed-off-by: Siva Durga Prasad Paladugu <siva.durga.paladugu@xilinx.com>
Signed-off-by: Michal Simek <michal.simek@xilinx.com>
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>
