
Liu Zehao contributed to the OpenXiangShan ecosystem by developing and refining hardware debugging features, instruction decoding, and system integration across repositories such as XiangShan, NEMU, and ready-to-run. He implemented critical error management traits and enhanced emulator and simulation environments, focusing on RISC-V architecture and low-level programming in C++ and Scala. His work addressed trap handling, floating-point computation accuracy, and submodule alignment, improving debugging reliability and platform consistency. Liu also maintained documentation accuracy in XiangShan-doc, ensuring clear project navigation. His engineering demonstrated depth in system emulation, hardware-software integration, and robust debugging, supporting stable releases and realistic benchmarking.

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.
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.
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.
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.
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.
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