January 2026: Delivered core features and stability improvements across OpenXiangShan/XiangShan and OpenXiangShan/NEMU. Key deliverables include MDP Performance and Correctness Enhancements, Memory System Tuning and Maintainability, and Memory Access Fault Reporting Accuracy improvements. These changes reduce runtime latency, improve determinism and error reporting, and simplify future maintenance.

December 2025 monthly summary for OpenXiangShan/XiangShan focusing on delivering core architectural robustness and performance improvements in the memory subsystem and dispatch path. Key outcomes include enhancements to MDP memory prediction with a RAW violation signal training path and a standalone MDP train port, corrected dispatch and redirection logic for accurate instruction handling and performance metrics, and substantial memory-subsystem/performance hardening via store-pipeline reliability fixes and targeted instrumentation.

OpenXiangShan/XiangShan — 2025-11: Delivered core improvements across training workflow, memory-subsystem reliability, and MDP dispatch accuracy. Key outcomes include enabling the StoreSet feature in CtrlBlock with training data path fixes to ensure correct port reads and dispatch; improving unaligned memory access handling in VSegmentUnit to prevent incorrect store ordering and hangs; and refining MDP load prediction and training PC wiring to enhance dispatch accuracy and load-dependency handling. These changes reduce risk in training pipelines, improve system stability, and provide more predictable performance.

September 2025 monthly summary for OpenXiangShan/XiangShan focusing on correctness of VSegmentUnit address generation during the s_pm state. Delivered a targeted bug fix to correct misaddressed split handling, ensuring the correct isMisalignWire flag is used when generating addresses for split operations. This improves reliability and correctness of split handling in the hardware state machine.

August 2025 monthly summary for OpenXiangShan/XiangShan focusing on reliability and verification stability in the VSegmentUnit. Delivered a targeted bug fix for vector length (VL) handling during writeback for segment fault instructions, improving simulation parity between reference and DUT and reducing first-instruction mismatch. This work supports ongoing ISA validation and aligns with quality goals.

July 2025: Vector memory subsystem fixes and stability improvements in OpenXiangShan/XiangShan. Implemented a focused set of bug fixes to vector misalignment handling to prevent deadlocks, ensure proper exception cancellation, correct write-back behavior under concurrent misalignment requests, and proper address alignment handling for indexed operations. The changes improve reliability of vector workloads and reduce risk of stalled operations.

June 2025 focused on vector ISA robustness and correctness across two OpenXiangShan repositories (NEMU and XiangShan). Delivered essential fixes to RVV vldff exception handling in NEMU, including tail- and mask-agnostic behavior corrections: tail elements set to -1 on exceptions, masks treated as 1 for mask-agnostic paths, and accurate mask application for loads/stores. In XiangShan, implemented vector processing correctness fixes addressing misalignment/boundary issues in vector stores and ensured vleff writeback uses the original vl with proper data propagation for exceptions. These changes improve correctness, reduce simulation noise, and enhance testability, providing more reliable groundwork for downstream features and performance work. Demonstrates strong proficiency in low-level hardware debugging, RVV semantics, vector store paths, and cross-repo collaboration.

May 2025 monthly summary for OpenXiangShan/XiangShan focusing on bug fixes and stability improvements in the StoreQueue path. Primary work concentrated on correcting vector exception handling during cancellation and redirection to ensure reliable behavior under error conditions and clear error signaling for downstream systems.