
Worked on OpenXiangShan/difftest and OpenXiangShan/NEMU, delivering features that enhanced hardware simulation, FPGA integration, and performance observability. Developed automated interface generation and streamlined gateway integration using Python and Scala, reducing manual effort and improving maintainability. Implemented FPGA XDMA-based data transfer, optimized memory management in C++, and introduced performance logging with warmup support for accurate benchmarking. Improved DMA reliability through aligned memory allocation and refactored build systems for cleaner FPGA workflows. In OpenXiangShan/NEMU, built a simplified instruction cache in C to accelerate single-step execution and added CI-based performance benchmarking, enabling data-driven optimization and traceability across development cycles.
Month: 2026-04 — OpenXiangShan/NEMU Key features delivered: - CI Performance Benchmarking and Reporting: Introduced a performance comparison feature in the CI pipeline to evaluate the current branch against the master baseline, reporting metrics such as instructions executed and throughput to enable performance tracking and optimization. Major bugs fixed: - None reported in April 2026. Overall impact and accomplishments: - Provided data-driven visibility into performance changes, enabling faster identification and optimization of regressions. - Established a baseline comparison workflow in CI that supports ongoing performance improvements and stability. Technologies/skills demonstrated: - CI/CD integration, performance benchmarking, metrics collection (instructions executed, throughput), baseline comparisons, traceability to commits.
Month: 2026-04 — OpenXiangShan/NEMU Key features delivered: - CI Performance Benchmarking and Reporting: Introduced a performance comparison feature in the CI pipeline to evaluate the current branch against the master baseline, reporting metrics such as instructions executed and throughput to enable performance tracking and optimization. Major bugs fixed: - None reported in April 2026. Overall impact and accomplishments: - Provided data-driven visibility into performance changes, enabling faster identification and optimization of regressions. - Established a baseline comparison workflow in CI that supports ongoing performance improvements and stability. Technologies/skills demonstrated: - CI/CD integration, performance benchmarking, metrics collection (instructions executed, throughput), baseline comparisons, traceability to commits.
OpenXiangShan/NEMU — July 2025 monthly summary: Delivered a core performance improvement for single-step execution by introducing a simplified instruction cache (tcache). The tcache is integrated into the main execution loop and updated in the flush logic to ensure cache coherence, resulting in noticeable improvements in REF mode. Focused on performance optimization and maintainability, with clean integration into existing code paths. No major bug fixes were reported in this data; the month centered on optimization work and its business impact.
OpenXiangShan/NEMU — July 2025 monthly summary: Delivered a core performance improvement for single-step execution by introducing a simplified instruction cache (tcache). The tcache is integrated into the main execution loop and updated in the flush logic to ensure cache coherence, resulting in noticeable improvements in REF mode. Focused on performance optimization and maintainability, with clean integration into existing code paths. No major bug fixes were reported in this data; the month centered on optimization work and its business impact.
May 2025: Delivered FPGA DiffTest enhancements and reliability improvements that strengthen the OpenXiangShan testing infrastructure. Implemented 64-byte alignment padding for batch packets, added flashing FPGA image support, and fixed DMA reception reliability through 4K-aligned allocations with posix_memalign-based malloc. These changes improve test coverage, data integrity, and stability of the FPGA testing pipeline, enabling faster issue detection and deployment readiness.
May 2025: Delivered FPGA DiffTest enhancements and reliability improvements that strengthen the OpenXiangShan testing infrastructure. Implemented 64-byte alignment padding for batch packets, added flashing FPGA image support, and fixed DMA reception reliability through 4K-aligned allocations with posix_memalign-based malloc. These changes improve test coverage, data integrity, and stability of the FPGA testing pipeline, enabling faster issue detection and deployment readiness.
March 2025 monthly summary for OpenXiangShan/difftest focusing on performance, stability, and clarity of performance metrics. Delivered targeted optimizations, build cleanliness improvements for FPGA workflows, and enhanced instrumentation to aid future benchmarking and user-facing reporting.
March 2025 monthly summary for OpenXiangShan/difftest focusing on performance, stability, and clarity of performance metrics. Delivered targeted optimizations, build cleanliness improvements for FPGA workflows, and enhanced instrumentation to aid future benchmarking and user-facing reporting.
For 2025-02, the OpenXiangShan/difftest project delivered key performance-oriented improvements and a critical bug fix, driving reliability, efficiency, and hardware integration capabilities. The month focused on enhancing measurement accuracy, enabling robust FPGA data paths, and fixing data transfer edge cases, aligning work with benchmarking and deployment needs.
For 2025-02, the OpenXiangShan/difftest project delivered key performance-oriented improvements and a critical bug fix, driving reliability, efficiency, and hardware integration capabilities. The month focused on enhancing measurement accuracy, enabling robust FPGA data paths, and fixing data transfer edge cases, aligning work with benchmarking and deployment needs.
January 2025 highlights: Delivered FPGA XDMA-based difftest integration on OpenXiangShan/difftest, including new build targets, memory transfer management, and refined initialization/execution logic, enabling faster hardware verification cycles on FPGA platforms. Exposed memory sizing via a public API (get_img_size) in SimMemory and derived classes to support external tooling and workload tuning. Fixed stability issues that impacted builds and scripting, improving developer velocity and maintainability.
January 2025 highlights: Delivered FPGA XDMA-based difftest integration on OpenXiangShan/difftest, including new build targets, memory transfer management, and refined initialization/execution logic, enabling faster hardware verification cycles on FPGA platforms. Exposed memory sizing via a public API (get_img_size) in SimMemory and derived classes to support external tooling and workload tuning. Fixed stability issues that impacted builds and scripting, improving developer velocity and maintainability.
December 2024: Automated gateway interface integration via Python tooling (Verilog gateway endpoint declarations to interface instantiations; supports core_out and gateway_in), plus a code hygiene fix in SquashControl Endmodule. These changes reduce manual integration effort, improve regression test reliability, and strengthen maintainability of the OpenXiangShan/difftest repo.
December 2024: Automated gateway interface integration via Python tooling (Verilog gateway endpoint declarations to interface instantiations; supports core_out and gateway_in), plus a code hygiene fix in SquashControl Endmodule. These changes reduce manual integration effort, improve regression test reliability, and strengthen maintainability of the OpenXiangShan/difftest repo.
November 2024 monthly summary for OpenXiangShan/difftest focusing on performance observability improvements and FPGA validation workflow. Delivered two key capabilities: warmup-phase performance logging and FPGA-era DMA/PCIe integration, enabling more accurate performance measurements and end-to-end data transfer testing.
November 2024 monthly summary for OpenXiangShan/difftest focusing on performance observability improvements and FPGA validation workflow. Delivered two key capabilities: warmup-phase performance logging and FPGA-era DMA/PCIe integration, enabling more accurate performance measurements and end-to-end data transfer testing.
OpenXiangShan/difftest — October 2024: Delivered end-to-end SVH interface generation to connect cores with the difftest harness, including core and gateway interface definitions and an assignment module. Fixed generation alignment with JsonProfile and corrected syntax issues to reflect original instances, improving fidelity and reducing integration risk. These changes enable a more reliable, repeatable interface generation workflow for future core expansions, boosting test automation and developer productivity.
OpenXiangShan/difftest — October 2024: Delivered end-to-end SVH interface generation to connect cores with the difftest harness, including core and gateway interface definitions and an assignment module. Fixed generation alignment with JsonProfile and corrected syntax issues to reflect original instances, improving fidelity and reducing integration risk. These changes enable a more reliable, repeatable interface generation workflow for future core expansions, boosting test automation and developer productivity.

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