November 2025 monthly summary for OpenXiangShan-Nanhu/LinkNan. Primary effort was dependency management for the Nanhu subproject. No functional changes were introduced in the main LinkNan project; the Nanhu subproject was updated to a new commit hash to align with latest fixes and improve compatibility. This work emphasizes stability, traceability, and readiness for upcoming feature work.

Summary of Oct 2025 performance focusing on reliability, maintainability, and integration alignment across Nanhu-V5 and LinkNan. Key efforts included simplifying PMU initialization, fixing a critical MMU/ITLB race condition, and aligning downstream dependencies with upstream changes. The work reinforces core system stability for performance monitoring and memory management, while improving the maintainability of hardware-initialization code and ensuring a consistent dependency graph.

September 2025 monthly summary focusing on delivering practical RISC-V ecosystem improvements and robust runtime reliability across LinkNan and Nanhu-V5.

OpenXiangShan-Nanhu performance and stability focus for 2025-08. The month centered on strengthening performance visibility, memory subsystem correctness, maintainability, and subproject alignment, delivering concrete business value through improved instrumentation, reliability, and streamlined interfaces.

Performance summary for July 2025: Delivered critical robustness fixes and new test infrastructure across Nanhu-V5 and LinkNan, improving reliability, test coverage, and release readiness. Key outcomes include strengthened MMIO/frontend state machine reliability, new dummy frontendTop interfaces for MMIO/L2, accelerated validation cycles through updated difftest timing, expanded test flows with qual-core for dhrystone and binary flashing, updated nanhu submodule, and streamlined environment generation for releases.

June 2025 performance summary for OpenXiangShan-Nanhu projects. Delivered modular MMIO handling and power-management enhancements, improved frontend modularity and interface design, and strengthened multicore build/release workflows. The work increased system reliability, reduced risk in MMIO paths, and accelerated stable releases, positioning the team for higher throughput and easier maintenance.

May 2025 monthly summary for OpenXiangShan-Nanhu projects. Delivered a blend of feature updates, stability fixes, and packaging improvements across Nanhu-V5 and LinkNan, translating into more reliable simulations, faster builds, and streamlined distributions.

April 2025 performance snapshot focused on stability, correctness, and timing improvements for OpenXiangShan-Nanhu projects (Nanhu-V5 and LinkNan). Delivered targeted frontend and backend fixes, core-path optimizations, and dependency stabilization to drive reliability, predictability, and business value across the platform.

Month: 2025-03 — Focused on enabling hardware configurability, UI integration for NHL2, startup performance improvements, and build-system readiness; plus critical fixes to release workflow, FP decoding, timekeeping, and IFU checks.

February 2025 highlights across the OpenXiangShan-Nanhu projects. Focus areas included configuration modularization, accuracy improvements in predictive logic, integration stability, and test-environment enablement. Delivered changes reduce maintenance friction, improve validation confidence, and enable more reliable cross-repo testing workflows.

January 2025 performance summary for OpenXiangShan-Nanhu/Nanhu-V5. Delivered reproducible simulation runs by making the emulator deterministic with a fixed seed in the Makefile. Implemented major front-end performance and accuracy improvements through comprehensive branch predictor and timing optimizations (FTQ timing, TAGE refinements, FTB/BTB timing, and related datapath changes). Added metadata reductions and datapath refinements to improve area and latency. Impact includes more reliable benchmarking, faster verification cycles, and strengthened confidence in architectural evaluations. Technical highlights include Makefile-driven determinism, RNG seeding, branch predictor architectures (FTQ/TAGE/FTB/BTB), and targeted performance tuning in the hardware simulation environment.

December 2024 monthly summary for OpenXiangShan-Nanhu/Nanhu-V5 focusing on delivering core infrastructure, improving prediction accuracy, and stabilizing the datapath for broader data types. The month consolidated build system maintenance, HasSC_v2 enhancements, and register file width/port configuration refactor into production-ready changes with direct business value for emulation, VCS, and downstream toolchains.

In November 2024, Nanhu-V5 delivered core architectural optimizations and frontend improvements that improve performance, reduce silicon area, and stabilize the build. The work focused on Tage predictor footprint reduction and correctness, frontend fetch-path enhancements, and upstream Rocket-chip integration to ensure maintainability and alignment with updated components. These changes deliver measurable business value: lower area and memory usage, faster instruction fetch, and a robust baseline for future enhancements.