XS-MLVP/UnityChipForXiangShan
Aug 2025 – Aug 2025
1 Month active
Languages Used
Python
Technical Skills
Functional CoverageHardware VerificationSystemVerilog/Python IntegrationTest Automation
Shio2077
PROFILE
Shio2077
Developed a comprehensive testing infrastructure and validation suite for the PredChecker module within the XS-MLVP/UnityChipForXiangShan repository, focusing on robust hardware verification. The work involved designing an agent and environment setup, implementing a reference model, and creating a sequence generator for test vectors, all integrated with functional coverage to ensure thorough validation of diverse prediction scenarios. Leveraging SystemVerilog and Python, the solution automated test workflows and improved traceability by linking validation to specific commits. This approach reduced deployment risk and enabled earlier detection of edge cases, supporting more reliable and efficient iterative development for the hardware verification process.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,010
Activity Months1
Your Network
16 peopleShared Repositories
16
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08. Focused on strengthening validation for the PredChecker module in XS-MLVP/UnityChipForXiangShan. Delivered a comprehensive testing infrastructure and validation suite, including agent/environment setup, a reference model, and a sequence generator for test vectors, all integrated with functional coverage to validate diverse prediction scenarios. This work reduces deployment risk and accelerates iterative development by catching edge cases earlier.
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08. Focused on strengthening validation for the PredChecker module in XS-MLVP/UnityChipForXiangShan. Delivered a comprehensive testing infrastructure and validation suite, including agent/environment setup, a reference model, and a sequence generator for test vectors, all integrated with functional coverage to validate diverse prediction scenarios. This work reduces deployment risk and accelerates iterative development by catching edge cases earlier.
August 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Functional CoverageHardware VerificationSystemVerilog/Python IntegrationTest Automation
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