December 2025 monthly summary focusing on business value and technical achievements across two core OpenXiangShan repositories. Key governance, reliability, and reference updates improved maintainability, reliability, and onboarding efficiency.

Month: 2025-09 | OpenXiangShan/XiangShan. Delivered consolidated ROB compression improvements across modules to improve correctness and stability, including state management, BRH handling, and fusion logic. This work strengthens robustness of the ROB compression path and reduces edge-case risks in real workloads. Key initiatives and outcomes: - Maintained isRVC state with ftqoffset in RobCompress to ensure correct state propagation across compression paths. - Fixed BRH compress bit handling when ROB compression is disabled in CompressUnit to prevent incorrect compression signaling. - Corrected fusion handling for crossed FTQs under ROB compression in CtrlBlock.scala to ensure cancompress behavior remains consistent across edge cases. Commit references (representing changes this month): - bf6fdae1dca032735766e49ab7837463c17096ec: fix(RobCompress): fix isRVC transfer logic for new ftqoffset - 03f5f93ab43174b54bf62b4a9e28b0259dc9b9ff: fix(Closecompress): when rob compress close, the brh instruction compress bit cannot be true - c7bda49f9f8b5488641134288d3ad89ef4e631fe: fix(Closecompress): when rob compress close, fusion which cross two ftq should be cancompressed

May 2025: Documentation accuracy improvements for Biweekly-76 in XiangShan-doc; corrected PR link (English/Chinese) to the correct issue, improving navigation and readiness for release.

December 2024 monthly summary focusing on business value and technical delivery across four OpenXiangShan repositories. Major work delivered spans feature integration, bug fixes, and maintenance to improve stability, accuracy, and performance benchmarking. The team aligned upstream dependencies and internal workflows to enable more realistic testing, faster debugging, and higher quality floating-point computations.

November 2024 performance highlights across OpenXiangShan/NEMU, OpenXiangShan/ready-to-run, OpenXiangShan/XiangShan, and OpenXiangShan/riscv-isa-sim. Delivered targeted bug fixes, architectural refactors, and upstream alignment that improve debugging reliability, trap/interrupt correctness, and integration with Spike and ready-to-run. Central achievements include trap state encapsulation, corrected SDT/MDT semantics, and consolidated NEMU readiness updates across repos.

October 2024 (2024-10) focused on delivering high-value features across hardware debugging, runtime readiness, and instruction decoding, with emphasis on stability and preparation for upcoming releases. The work spanned three repositories and emphasized business value: improved debugging capabilities for hardware modules, up-to-date runtime environments with newer NEMU capabilities, and updated simulation tooling to reflect upstream fixes and enhancements.

September 2024 monthly summary for OpenXiangShan/riscv-isa-sim focused on stability, accuracy, and upstream alignment. Key activities included integrating upstream master changes into the local difftest branch to improve simulator accuracy and memory management, followed by targeted fixes to restore compilation behavior after upstream changes.