July 2026 performance summary: Across OpenXiangShan/XiangShan, OpenXiangShan/difftest, and OpenXiangShan/GEM5, delivered business-value features, reliability improvements, and expanded ISA coverage. Key deliverables include updated contributor guidelines and docs to reduce onboarding time, modernization of CI/CD and artifact workflows for more consistent performance reporting, and ZBKB bit-manipulation support in GEM5 to align with upstream specs. Critical bug fixes addressed cross-page instruction fetch in uncacheable memory paths and Python parser compatibility, with CI tests added to prevent regressions. Core timing and reliability improvements in ICache and predictor logic, removal of a timing-risk bypass, and improved PGO-based build isolation. These efforts shorten development cycles, improve performance visibility, and broaden hardware/software compatibility.

June 2026 highlights for OpenXiangShan/XiangShan focusing on configurability, correctness, and performance. Delivered MBTB configurability for EnableTargetFix with re-ordered, clearer parameters; fixed MicroBTB victim-entry hit handling to improve prediction accuracy; refactored and optimized BPU state management to unify ReplacerState operations and reduce timing fan-out; corrected Instruction Fetch I/O ordering to ensure proper sequencing for non-idempotent memory accesses; enhanced developer tooling and CI with performance metrics, SPEC benchmark support, build acceleration via Makefile, and more efficient waveform storage routing to CI artifacts. These work items provide measurable business value: increased prediction accuracy, lower latency, greater scalability, and faster feedback through telemetry and CI improvements.

May 2026 highlights centers on delivering critical performance and reliability improvements across the XiangShan project family, paired with CI/QA enhancements to accelerate safe iteration and reduce maintenance overhead. Key features delivered include the ICache 2-prefetch implementation with Ftq integration (limited to the safe scenarios described in the commit notes) to improve prefetch timeliness while avoiding extra read ports, and BTB timing optimizations that move calculations to t0 and streamline the t0/t1 path for better timing and IPC stability. Additional feature and correctness work includes instruction fetch/state handling improvements to reduce misfetch and resend scenarios. Maintenance and workflow improvements focus on performance benchmarking reliability and the testing workflow, including fixes to prevent score-file race conditions and enabling multi-emulator perf testing workflows.

April 2026 monthly summary for OpenXiangShan/XiangShan. Focused on stabilizing and accelerating the CI/dev workflow, delivering critical hardware performance improvements, and cleaning up maintenance tasks. Key outcomes include robust CI automation, improved BPU timing, updated documentation accessibility, and frontend code cleanup. These efforts improved build stability, reduced pipeline times, and clarified developer-facing resources.

March 2026 Monthly Summary for OpenXiangShan/XiangShan focusing on performance improvements, CI reliability, and workflow optimization, with concrete artifacts and measurable improvements. Highlights include performance testing workflow overhaul, EMU basics optimizations, and robust bug fixes enhancing reliability and maintainability across CI/CD pipelines.

February 2026 monthly summary focused on delivering a stable, testable base for StarFive and XiangShan, improving kernel readiness, driver quality, test coverage, and bug-reporting efficiency. Highlights include a 6.18 kernel upgrade with platform patches, modernization of E24 driver APIs, expanded unit tests for SaturateCounter, and a streamlined bug-reporting workflow.

January 2026 OpenXiangShan/XiangShan: Delivered major usability, reliability, and developer-experience improvements across the SaturateCounter API, safety fixes, memory subsystem reliability, CI labeling, and reproducible simulation workflows. These changes reduce overflow risks, improve cache/btb reliability and performance, speed up code reviews, and enable reproducible validation workflows for engineers and customers.

Monthly Summary for 2025-12 (OpenXiangShan projects) Overview: This month focused on delivering measurable business value through clearer operational telemetry, improved CI feedback, enhanced performance instrumentation, and key architectural refinements. The work spans XiangShan and Utility repositories, with emphasis on reliability, debugging ease, and performance accounting that support faster iteration and higher system confidence. Key features delivered: - WriteBuffer Logging Improvements: added nameSuffix for clearer logging and easier correlating logs with runtime blocks (commit fdee0eafc801fb91d723c51c5bc9ec9db01ef09e). - CI Summary Generation Enhancement: always generate summary even if jobs failed, ensuring visibility into all successful results and aiding post-run analysis (commit 9524b23ebb6782ff39d45b8507c524a60a71f18c). - MBTB enhancements: added write reason counter and timing/taken-entry improvements to support more accurate performance tracing and timing alignment (commit series including 564ede3eea6557f66236e0448a07b8b782f05cb8, 6f3ff840c55f424eb20a31fa12c6294cfdd27a8f, 6ec3724845c154f1a44193aa9ca0dd06ac375d3f, b77e2e68464facd27f7ddea8da40f60118da2165). - AddrField Utilities & Extraction Methods: introduced AddrField utilities for printing address fields and added extraction helpers to simplify address field handling and debugging (commits 3a5b4d70366debd347f182c3a4d8f0f04f70c92d and 178971e43e5c2fa9a4e1748e69cf11dcf63228ff). - XSPerf Priority Accumulate: added priority-based accumulation for performance counters and a prefix mode for better organization of XSPerf metrics (commit 775218467b93f3997431f0d6c94988413aba50f8). Major bugs fixed: - MBTB: replacer setidx alignment and related cleanup; removal of unused TakenCntWidth; fix getEntryTarget and multi-hit handling; attribute mismatch overwrite. - MBTB: fix basetable drop write counter typo; ensures correct counting with MBTB/Tage interaction. - Frontend BPU redirect fix: use cfiPc instead of startPc and remove unused isRvc. - TageFoldedHist width typo fix; fix width for brhRealTarget to align with brhPredictTarget. - BPU: fix decoupled train correctness to avoid duplicate training signals. Overall impact and accomplishments: - Improved observability and debuggability across critical paths with AddrField utilities, enhanced CI visibility, and richer performance counters. - Strengthened reliability and architectural clarity through MBTB refactors, BPU/BaseTable relocation, and standardized address-field handling. - Accelerated debugging and optimization cycles via instrumentation improvements and more consistent logging. Technologies/skills demonstrated: - Systems-level debugging and instrumentation design; logging improvements; performance counter management; architectural refactors; DSL and RTL-oriented code quality improvements; adherence to style guides and IDE warnings in frontend code.

November 2025 — Delivered high-impact architectural and frontend improvements across OpenXiangShan XiangShan and targeted difftest enhancements. Focused on faster, more reliable branch prediction, cleaner internal architectures, and power-aware ICache refinement. These workstreams improve performance, reliability, and energy efficiency, and set a clear path for future optimizations. Notable benchmark hints include observed IPC uplift in MinimalConfig coremark-2-iter (IPC 0.74 -> 0.99) from refactors, and CI stability improvements from ICache fix.

October 2025: OpenXiangShan/XiangShan delivered substantial technical improvements with measurable business value, including a more accurate and stable Branch Prediction Unit, enhanced frontend robustness, and observable performance analysis capabilities. Key work focused on BTB stabilization and fast‑training integration for the BPU, centralized BpTrace logging for end-to-end prediction tracking, and frontend hardware exception support with improved ICache error recovery. Stability fixes in MBTB/ABTB paths reduced stalls and mispredictions during exceptional paths, supporting power efficiency and reliability. These changes lay the groundwork for future features and easier performance debugging across the pipeline.

Month 2025-09 — Summary of developer work on OpenXiangShan/XiangShan: Key features delivered: - ABTB: fast training and IO-enable handling implemented to accelerate training throughput and ensure correct t0/t1 IO gating. Commit: 2f019602df91293243f8310d13a938060af420af. - Ftq/ICache: dynamic fetch block size support enabling adaptive fetch widths and improved cache data path alignment. Commit: cdcc83856ea84d22ecba3117c68f5e66fd31a513. - Ftq: fix write condition and add ExceptionType.fromBackend to improve backend error handling and control-flow robustness. Commit: 7e5d4cfbfd91069c9aa49aefca82697bd6a6e354. - IBuffer: switch to V3 parameter system and style, aligning with new frontend API conventions. Commit: 7d5644d963224ad6c933bafbff2a0fd0ba31d1ea. - Frontend: increased FetchBlockSize to 64B to reduce fetch overhead and improve memory throughput. Commit: 3511e25f97eb503800a8956a2e8c477cf1a7c2cd. Major bugs fixed: - UBTB: fix allocation for taken branches and fix hit detection to resolve misprediction training issues. Commits include bf76413df0b94d3a406608441e6cd703c44d3074, 9c9105fb0f0b5183e1d3c08af310d2800b06cbbe, and 71c784a7d29f4ea519074662494dec31e9acd2ac. - ICache: fix s3 flush waylookup and mainPipe s1 interactions to ensure correct state during overrides. Commit: d860a548c56a6b088ac40d4b0a6d0249abd79aaf. - ICache/Ifu: do not bpuFlush if not valid to avoid erroneous flushes. Commit: a9791a2b31fb8195cd3493bcdf3bc7748ddea92c. - ICache: stall read when updating to prevent pipeline stalls during updates. Commit: ccc2ea946abd62caf122e181f36536d34af7be9d. - Fallthrough: fix cfipostion when cross page to ensure correct instruction fetch range across pages. Commit: 7b86c3584095480a3b4b8814fed68c8201ac6d96. Overall impact and accomplishments: - Performance and reliability improvements across the instruction fetch, decode, and execution pipeline, including faster training loops, reduced mispredictions, fewer stalls, and more robust control-flow handling. - Improved IO gating and fetch block sizing to align with data path, reducing memory fetch penalties and improving throughput in real workloads. Technologies/skills demonstrated: - Architectural refactoring and API modernization (IBuffer V3 parameter system). - Dynamic fetch width support and E2E pipeline tuning (Ftq/ICache). - Robust bug diagnosis and targeted fixes in UBTB, Ftq, ICache, and fallthrough logic. - CI resilience and IO tuning considerations (via Frontend and ABTB improvements).

Month: 2025-08 — Focused quality improvement in issue management for OpenXiangShan/XiangShan. Updated issue templates to fix typos and refine label names, enabling more accurate categorization and routing of bug reports, feature requests, and general problems. This reduces triage time and improves issue quality across the project. Commit: b2daf0a5c37b83d6d140dda024d41c8b0e642ffb.

July 2025 — OpenXiangShan/XiangShan monthly summary focusing on stabilizing memory subsystem interactions in the IFU/ICache path through targeted bug fixes. The changes improved correctness and memory throughput by ensuring MMIO handling is robust during speculative execution and by correct memory region typing for Tilelink, enabling the L2 cache to distinguish main memory from MMIO regions.

June 2025: Delivered targeted reliability and developer experience improvements in the XiangShan project. Highlights include a critical ICache ECC parity fix, a flexible build system enhancement with --make-threads, and Scalastyle prefix flexibility, resulting in improved runtime stability, faster builds, and better code quality for performance and debugging.

May 2025 monthly summary: Key features delivered: - OpenXiangShan/XiangShan: CI IPC Metrics Extraction and Markdown Summary in GitHub Actions. This feature extends the CI workflow to capture IPC (Instructions Per Cycle) and append a markdown-formatted summary to the GitHub Actions run, facilitating historical performance comparisons. Commit: 7894f4f93a627f8b2aa9ac61007d258322203ed6 (misc(ci): write IPC to GITHUB_STEP_SUMMARY (#4700)). - OpenXiangShan/XiangShan-doc: XS-env Development Environment Setup Documentation. Expanded docs to describe nix-based devshell usage with 'nix develop' and nix-direnv integration, plus minor English corrections. Commit: 7d26b7d2b36254e45ab008334b624a0802ecef6e (docs(xs-env): add docs for nix devshell (#193)). Major bugs fixed: - None reported this month. Overall impact and accomplishments: - Increased CI observability and reliability by enabling IPC-aware performance comparisons across CI runs; improved developer onboarding and environment consistency through updated nix-based setup docs; reduced manual steps and enhanced cross-repo collaboration and decision making. Technologies/skills demonstrated: - GitHub Actions customization, IPC metrics extraction, Markdown reporting, Nix-based development environments, xs-env tooling, technical documentation, and cross-repo communication.

April 2025 monthly summary for OpenXiangShan/XiangShan: Focused on streamlining code quality checks by adjusting Scalastyle configuration. Disabling space-around-operator checks reduces non-functional CI noise, accelerating feedback cycles while preserving behavior. Implemented via commit be3685ffd1314918da1a8a05b0fbf264ab119f5e (chore(scalastyle)) in OpenXiangShan/XiangShan.

March 2025 monthly summary for OpenXiangShan/XiangShan focused on delivering codebase improvements for readability and contribution flexibility, addressing critical correctness bugs, and solidifying runtime exception handling in key memory/stream processing paths.

February 2025 (OpenXiangShan/XiangShan): Delivered a Scalastyle configuration overhaul to align with the project code specification, improving IDE warnings, static analysis consistency, and overall code quality. This work reduces lint noise, speeds onboarding, and establishes a stable baseline for future style enforcement across the repository.

January 2025 monthly summary for OpenXiangShan/XiangShan focusing on reliability, timing accuracy, and end-to-end memory-path correctness in the ICacheMissUnit. Implemented critical data integrity fixes, refactored timing to reduce pipeline latency, and ensured correct registration of response data for SRAM writes and fetch responses. These changes mitigate data corruption risk during MainPipe interactions and improve timing predictability for flush and fencei sequences, delivering measurable improvements in system reliability and memory subsystem behavior.

December 2024 monthly summary for OpenXiangShan/XiangShan focused on correctness and performance improvements in the IFU and MMIO handling, with a targeted push on speculative execution for idempotent memory spaces. Delivered concrete fixes to MMIO/ITLB interactions and introduced speculative fetching to reduce stalls in idempotent memory regions. The work improves memory operation reliability, reduces latency in MMIO state transitions, and sets the groundwork for parallel requests across the IFU and I-cache pipelines.

November 2024 highlights: Delivered robustness and interface improvements for the IFU/ICache stack, introduced a frontend exception handling wrapper, and fixed critical processor instruction legality and encoding edge cases in OpenXiangShan/XiangShan. The work enhances runtime reliability, reduces risk of illegal-execution paths, and improves maintainability and cross-module integration, enabling safer future optimizations and faster release cycles.

2024-10 monthly summary for OpenXiangShan/XiangShan: Delivered targeted timing and reliability improvements across the ICache and prefetch paths, with a focus on correctness under concurrency and stable critical paths. Key changes include a minor prefetch timing adjustment, an ICacheMissUnit correction to allow MSHR responses during io.flush/io.fencei, and a robust ECC error-handling fix using PriorityMux to correctly prioritize concurrent errors. These work items enhance timing closure, data integrity, and resilience of the memory hierarchy with minimal performance impact and no functional regressions.