OpenXiangShan/GEM5
Sep 2025 – Jan 2026
2 Months active
Languages Used
ShellPython
Technical Skills
CI/CDShell ScriptingCPU ArchitecturePythonSimulationcache management
chengkaiwu
PROFILE
Chengkaiwu
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
21
Activity Months2
Your Network
26 people
Work History
January 2026
2 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on GEM5 feature delivery and performance improvements for OpenXiangShan. The work centered on CPU model tuning and prefetcher enhancements to improve cache performance and observability, with reproducible changes committed for traceability and future validation.
2 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on GEM5 feature delivery and performance improvements for OpenXiangShan. The work centered on CPU model tuning and prefetcher enhancements to improve cache performance and observability, with reproducible changes committed for traceability and future validation.
January 2026
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Concise monthly summary focusing on key accomplishments in the GEM5 repository set. Delivered a feature that enhances CI data retention, enabling longer historical performance data for CI analysis and trend detection. No major bug fixes reported for this period. Overall impact includes improved CI visibility, faster regression detection, and better capacity planning. Demonstrated technical proficiency in CI data management, storage considerations, and repository-level changes.
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Concise monthly summary focusing on key accomplishments in the GEM5 repository set. Delivered a feature that enhances CI data retention, enabling longer historical performance data for CI analysis and trend detection. No major bug fixes reported for this period. Overall impact includes improved CI visibility, faster regression detection, and better capacity planning. Demonstrated technical proficiency in CI data management, storage considerations, and repository-level changes.
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture86.6%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
CI/CDCPU ArchitecturePythonShell ScriptingSimulationcache managementperformance optimizationsystem programming
Repositories Contributed To
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