Files
acrn-hypervisor/hypervisor
Jian Jun Chen 1dee977429 hv: risc-v: add relocation support
This patch implements relocation support for ACRN RISC-V to enable
position-independent execution. The hypervisor can now be loaded at any
physical address and will automatically relocate itself at runtime. Key
changes:
- Add relocate() function to process R_RISCV_RELATIVE relocations in
  .rela sections during early boot
- Implement arch_get_hv_image_delta() to calculate the load address offset
  from the configured base address
- Add relocation processing in cpu_entry.S before jumping to C code
- Update linker script to include .rela sections for relocation data
- Define R_RISCV_RELATIVE relocation type and linker symbol definitions

Tracked-On: #8825
Signed-off-by: Jian Jun Chen <jian.jun.chen@intel.com>
Acked-by: Wang, Yu1 <yu1.wang@intel.com>
2025-10-22 10:15:01 +08:00
..
2025-10-22 10:15:01 +08:00
2025-10-22 10:15:01 +08:00
2025-10-14 14:45:12 +08:00
2025-10-22 10:15:01 +08:00

ACRN Hypervisor
###############

The open source `Project ACRN`_ defines a device hypervisor reference stack and
an architecture for running multiple software subsystems, managed securely, on
a consolidated system by means of a virtual machine manager. It also defines a
reference framework implementation for virtual device emulation, called the
"ACRN Device Model".

The ACRN Hypervisor is a Type 1 reference hypervisor stack, running directly on
the bare-metal hardware, and is suitable for a variety of IoT and embedded
device solutions. The ACRN hypervisor addresses the gap that currently exists
between datacenter hypervisors, and hard partitioning hypervisors. The ACRN
hypervisor architecture partitions the system into different functional
domains, with carefully selected guest OS sharing optimizations for IoT and
embedded devices.

You can find out more about Project ACRN on the `Project ACRN documentation`_
website.

.. _`Project ACRN`: https://projectacrn.org
.. _`ACRN Hypervisor`: https://github.com/projectacrn/acrn-hypervisor
.. _`Project ACRN documentation`: https://projectacrn.github.io/