
Youkun Lin developed and maintained core simulation and verification infrastructure for the OpenXiangShan/difftest repository, focusing on hardware-software co-design and FPGA-based validation. Over 11 months, he engineered batch processing pipelines, integrated GSIM and Verilator workflows, and refactored preprocessing modules to optimize simulation throughput and debugging. His work included robust handling of CPU-specific diff checks, real-time UART output for FPGA, and cross-environment consistency in emulation and simulation. Leveraging C++, Scala, and SystemVerilog, Youkun addressed build system reliability, performance monitoring, and hardware interaction, demonstrating depth in digital logic design and system integration while improving test coverage and engineering velocity.

September 2025 monthly summary for OpenXiangShan/difftest focused on delivering hardware-test reliability improvements and workflow efficiency. Key features were introduced to enable CPU-specific diff checks, real-time test visibility, and streamlined FPGA build/emulation workflows, complemented by data processing optimizations in the test/query stack. The work reduces debug cycles, improves test coverage accuracy across CPU types, and strengthens the end-to-end hardware-software validation pipeline.
September 2025 monthly summary for OpenXiangShan/difftest focused on delivering hardware-test reliability improvements and workflow efficiency. Key features were introduced to enable CPU-specific diff checks, real-time test visibility, and streamlined FPGA build/emulation workflows, complemented by data processing optimizations in the test/query stack. The work reduces debug cycles, improves test coverage accuracy across CPU types, and strengthens the end-to-end hardware-software validation pipeline.
July 2025 was focused on stability, correctness, and maintainability for OpenXiangShan/difftest. The month delivered targeted bug fixes across FPGA synthesis gating, log file naming, and gsim memory behavior, reducing build-risk and improving runtime reliability. No new user-facing features were introduced this month; the work targeted core reliability to accelerate future feature delivery.
July 2025 was focused on stability, correctness, and maintainability for OpenXiangShan/difftest. The month delivered targeted bug fixes across FPGA synthesis gating, log file naming, and gsim memory behavior, reducing build-risk and improving runtime reliability. No new user-facing features were introduced this month; the work targeted core reliability to accelerate future feature delivery.
June 2025 monthly summary for OpenXiangShan/difftest focusing on delivering software-simulated FPGA-host interactions, cross-simulator compatibility, and build/synthesis reliability. Key improvements enabled earlier-stage hardware/software integration, improved test coverage, and stabilized the build and synthesis path for production-like validation.
June 2025 monthly summary for OpenXiangShan/difftest focusing on delivering software-simulated FPGA-host interactions, cross-simulator compatibility, and build/synthesis reliability. Key improvements enabled earlier-stage hardware/software integration, improved test coverage, and stabilized the build and synthesis path for production-like validation.
May 2025 monthly focus centered on strengthening hardware-in-the-loop validation and cross-environment consistency for OpenXiangShan/difftest. Delivered FPGA IO exposure via finishFPGA integrated into the batch processing path, and stabilized cross-environment testing by refactoring difftest logic to reuse common nstep across emu, simv, and FPGA, reducing duplication and improving simulation reliability.
May 2025 monthly focus centered on strengthening hardware-in-the-loop validation and cross-environment consistency for OpenXiangShan/difftest. Delivered FPGA IO exposure via finishFPGA integrated into the batch processing path, and stabilized cross-environment testing by refactoring difftest logic to reuse common nstep across emu, simv, and FPGA, reducing duplication and improving simulation reliability.
April 2025 performance-driven delivery: improved simulation stability, non-blocking DPI-C integration, and enhanced hardware emulation tooling/docs to accelerate development and testing.
April 2025 performance-driven delivery: improved simulation stability, non-blocking DPI-C integration, and enhanced hardware emulation tooling/docs to accelerate development and testing.
March 2025 monthly summary for OpenXiangShan repository. Delivered a refactored batch processing system and optimized delta data transmission, with a focus on performance, scalability, and reliability across multi-core configurations.
March 2025 monthly summary for OpenXiangShan repository. Delivered a refactored batch processing system and optimized delta data transmission, with a focus on performance, scalability, and reliability across multi-core configurations.
Month: 2025-02 Overview: A performance-focused sprint across OpenXiangShan repositories delivering architecture improvements, data-readiness enhancements, and instrumentation for faster iteration, better diagnostics, and scalable simulations. The following features and optimizations were completed with traceable commits, delivering tangible business value in efficiency, reliability, and engineering velocity. Key features delivered: - Preprocessing module refactor and single-core optimization: moved preprocessing to a dedicated Preprocess.scala module and skipped loadEvent data for single-core configurations to reduce unnecessary work. Commits: 0d4f3e9e13310a5950761af8227f8aa52adbc92a; 153ee3781851d0de0b9e42d925edc0b7579532c2. - DPIC data querying and granular performance metrics: added SQLite-backed DPIC query support with new build targets, plus detailed per-DiffState counters in batch mode for better observability. Commits: 199cfeeee193d1fa9f6dc91a33dc13bf95d24af5; d4231867c0de3c52aeda80967f55d6f2b0e101f3. - Batch processing optimization and FPGA-specific gate reduction: introduced a two-stage collector, disabled batch data split strategy for FPGA to reduce gates, and renamed BatchInterval to BatchStep for clarity. Commits: b3dabd511cf6c22aae3f0e7d28c8acda696e68d3; 560e044d76be8cf60e29ff4a6e81e8be6f99f1a1; b537f528bbb9e400b9d0da8756219a5f6d107be9. - Global simulation performance optimizations: reduced gate usage by mapping fwrite to TB_IMPORT in LogPerfEndpoint and enabled -O3 optimization for PLDM C++ builds. Commits: f8746f082b2731e29b5c0cb735e2fe96b45dd7de; 3461e9758a4774234f81c1258f1eda2171a27dad. - Instrumentation and debugging enhancements: improved logging for complex data through WireInit-based probing in LogUtils; XSDebug enhancements to collect missing debug information and probe sub-accessed data. Commits: 5e9df6433098d626c05f927b3539d886e98c5bb6; 1eb8dd224d63ba7d4afa63695f72d8230e150d37. Major bugs fixed: - Fix(LogUtils): support probe subaccess data (#100), enabling robust logging for dynamic indexing scenarios and making subaccess data more reliably observable in diagnostics. Overall impact and accomplishments: - Performance: substantial improvements in simulation throughput and data-query responsiveness, with reduced gate counts on FPGA targets and more efficient batch processing. - Observability: richer metrics and logging instrumentation enabling quicker diagnosis and validation of changes across preprocessing, DPIC data paths, and debugging tooling. - Velocity: clearer module boundaries (Preprocess.scala) and better build-time optimizations (SQL-backed queries, -O3) accelerating development cycles. Technologies/skills demonstrated: - Scala module design and refactor (Preprocess.scala) and clarity improvements in StepInfo naming (BatchStep). - Data engineering: SQLite-backed queries and per-state performance counters. - Hardware-oriented optimization: batch data routing, gate count awareness for FPGA targets. - Performance engineering: -O3 compiler optimizations and performance-oriented mappings (LogPerfEndpoint). - Instrumentation and debugging: advanced logging with WireInit probing and enhanced XSDebug debugging for dynamic indexing.
Month: 2025-02 Overview: A performance-focused sprint across OpenXiangShan repositories delivering architecture improvements, data-readiness enhancements, and instrumentation for faster iteration, better diagnostics, and scalable simulations. The following features and optimizations were completed with traceable commits, delivering tangible business value in efficiency, reliability, and engineering velocity. Key features delivered: - Preprocessing module refactor and single-core optimization: moved preprocessing to a dedicated Preprocess.scala module and skipped loadEvent data for single-core configurations to reduce unnecessary work. Commits: 0d4f3e9e13310a5950761af8227f8aa52adbc92a; 153ee3781851d0de0b9e42d925edc0b7579532c2. - DPIC data querying and granular performance metrics: added SQLite-backed DPIC query support with new build targets, plus detailed per-DiffState counters in batch mode for better observability. Commits: 199cfeeee193d1fa9f6dc91a33dc13bf95d24af5; d4231867c0de3c52aeda80967f55d6f2b0e101f3. - Batch processing optimization and FPGA-specific gate reduction: introduced a two-stage collector, disabled batch data split strategy for FPGA to reduce gates, and renamed BatchInterval to BatchStep for clarity. Commits: b3dabd511cf6c22aae3f0e7d28c8acda696e68d3; 560e044d76be8cf60e29ff4a6e81e8be6f99f1a1; b537f528bbb9e400b9d0da8756219a5f6d107be9. - Global simulation performance optimizations: reduced gate usage by mapping fwrite to TB_IMPORT in LogPerfEndpoint and enabled -O3 optimization for PLDM C++ builds. Commits: f8746f082b2731e29b5c0cb735e2fe96b45dd7de; 3461e9758a4774234f81c1258f1eda2171a27dad. - Instrumentation and debugging enhancements: improved logging for complex data through WireInit-based probing in LogUtils; XSDebug enhancements to collect missing debug information and probe sub-accessed data. Commits: 5e9df6433098d626c05f927b3539d886e98c5bb6; 1eb8dd224d63ba7d4afa63695f72d8230e150d37. Major bugs fixed: - Fix(LogUtils): support probe subaccess data (#100), enabling robust logging for dynamic indexing scenarios and making subaccess data more reliably observable in diagnostics. Overall impact and accomplishments: - Performance: substantial improvements in simulation throughput and data-query responsiveness, with reduced gate counts on FPGA targets and more efficient batch processing. - Observability: richer metrics and logging instrumentation enabling quicker diagnosis and validation of changes across preprocessing, DPIC data paths, and debugging tooling. - Velocity: clearer module boundaries (Preprocess.scala) and better build-time optimizations (SQL-backed queries, -O3) accelerating development cycles. Technologies/skills demonstrated: - Scala module design and refactor (Preprocess.scala) and clarity improvements in StepInfo naming (BatchStep). - Data engineering: SQLite-backed queries and per-state performance counters. - Hardware-oriented optimization: batch data routing, gate count awareness for FPGA targets. - Performance engineering: -O3 compiler optimizations and performance-oriented mappings (LogPerfEndpoint). - Instrumentation and debugging: advanced logging with WireInit probing and enhanced XSDebug debugging for dynamic indexing.
January 2025: Cross-repo delivery of a robust Difftest-enabled verification flow and configurable performance controls across OpenXiangShan/difftest, OpenXiangShan/XiangShan, OpenXiangShan-Nanhu/Nanhu-V5, and OpenXiangShan/Utility. Key work stabilized the Difftest integration, improved gateway/interface management, and introduced granular performance instrumentation. The investments yielded a more reliable verification loop, faster feedback during FPGA simulations, and a clearer mapping of business value to engineering output.
January 2025: Cross-repo delivery of a robust Difftest-enabled verification flow and configurable performance controls across OpenXiangShan/difftest, OpenXiangShan/XiangShan, OpenXiangShan-Nanhu/Nanhu-V5, and OpenXiangShan/Utility. Key work stabilized the Difftest integration, improved gateway/interface management, and introduced granular performance instrumentation. The investments yielded a more reliable verification loop, faster feedback during FPGA simulations, and a clearer mapping of business value to engineering output.
Month 2024-12 performance-focused contributions across XiangShan, NEMU, and Utility repositories, delivering feature enhancements, build configurability, centralized monitoring, and stability improvements.
Month 2024-12 performance-focused contributions across XiangShan, NEMU, and Utility repositories, delivering feature enhancements, build configurability, centralized monitoring, and stability improvements.
2024-11 Monthly summary for OpenXiangShan/difftest: Key reliability and maintainability improvements through bug fix and replay feature enhancements. This period focused on stabilizing gsim integration and improving test replay accuracy to improve debugging and CI reliability.
2024-11 Monthly summary for OpenXiangShan/difftest: Key reliability and maintainability improvements through bug fix and replay feature enhancements. This period focused on stabilizing gsim integration and improving test replay accuracy to improve debugging and CI reliability.
In 2024-10, delivered significant improvements to OpenXiangShan/difftest. Implemented correctness fixes for squashed commits by updating ArchRegState to apply only on commit or event and adding an updateDependency field to relevant state classes (commit 85823ebb1c6f58d55b589e2ccbdc4e0737690d1f). Also integrated GSIM with the Verilator-based workflow, introducing a GSIM build path and Makefile target to enable GSIM execution (commit e95f27baf6f3cb41c00f214e9ce3099f438af9fc). These changes enhance simulation reliability, offer flexible testing between GSIM and Verilator, and accelerate hardware-software co-design validation.
In 2024-10, delivered significant improvements to OpenXiangShan/difftest. Implemented correctness fixes for squashed commits by updating ArchRegState to apply only on commit or event and adding an updateDependency field to relevant state classes (commit 85823ebb1c6f58d55b589e2ccbdc4e0737690d1f). Also integrated GSIM with the Verilator-based workflow, introducing a GSIM build path and Makefile target to enable GSIM execution (commit e95f27baf6f3cb41c00f214e9ce3099f438af9fc). These changes enhance simulation reliability, offer flexible testing between GSIM and Verilator, and accelerate hardware-software co-design validation.
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