Run RISC-V Binaries on AMD Zen-Series CPUs via Microcode Modification

Summary

Run RISC-V Binaries on AMD Zen-series CPUs via Microcode Modification This content has been machine-translated. In case of any discrepancies or ambiguities, the original Chinese version shall prevail. Challenge Description​ Current AMD Zen-series CPUs (e.g., EPYC 9004 series) have begun integrating RISC-V coprocessors for specific acceleration tasks. The microcode of AMD Zen-series processors enables modification of low-level CPU instruction execution behavior through software-level firmware patches, making it suitable for optimizing instruction execution and altering specific instruction behaviors. Zentool, developed by Google's Security Research team, is a toolkit for analyzing, modifying, and generating microcode patches for AMD Zen-series processors. Rubrics​ Microcode Patch: Complete microcode modifications for Zen-series CPUs to enable direct execution of RISC-V binary programs. If direct execution is not feasible, optimize the modified microcode to achieve a significant level of acceleration for RISC-V binaries. Performance Optimization Testing: Run RISC-V binary versions of benchmark applications (e.g., Coremark, Dhrystone) on Zen-series CPUs. Compare performance against simulator-based RISC-V emulation on the same hardware, ensuring measurable and substantial performance improvements. Documentation: Document the rationale behind microcode modifications. Outline methodologies for accelerating RISC-V binaries. Detail testing procedures and benchmark results. Important Notes Ensure compliance with open-source licenses and copyright regulations. Participants must prepare their own development environment with required tools/libraries. Platform​ Submission​ The submission repository is https://github.com/rv2036/rvspoc-P2501-v4l2 Submit results via Pull Request (PR) to the above repository: All references to "PR" in subsequent conditions refer to Pull Requests against the repository in Condition 1. When creating a PR, provide necessary materials for reproducing t...