ZJUSCT/HPC101
Jul 2025 – Jul 2025
1 Month active
Languages Used
C++CMakeCUDAMarkdownShellYAML
Technical Skills
C++CUDACUDA ProgrammingConvolutional Neural NetworksDeep Learning FundamentalsDocumentation
chiakicage
PROFILE
Chiakicage
During July 2025, Colorful Cache developed and released a unified CUDA Convolution Lab for the ZJUSCT/HPC101 repository, consolidating Lab 3 into a single, end-to-end feature. They authored comprehensive documentation covering GPU architecture, optimization strategies, and navigation, and provided starter code for 2D convolution in both int8 and FP16 formats. Their technical approach emphasized tiling and shared-memory usage to guide students in high-performance computing practices. Integrating an Online Judge workflow with updated visuals, Colorful Cache streamlined onboarding and automated evaluation. The work demonstrated depth in C++, CUDA programming, and technical writing, resulting in a robust, maintainable educational resource.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
1
Lines of code
2,590
Activity Months1
Your Network
15 peopleShared Repositories
15
Work History
July 2025
6 Commits • 1 Features
Jul 1, 2025July 2025 summary for ZJUSCT/HPC101: Consolidated Lab 3 CUDA Convolution into a single feature with end-to-end documentation, starter code for 2D convolution (int8 and FP16), tiling/shared-memory guidance, and a complete Online Judge workflow with updated visuals. This work improves onboarding, accelerates hands-on progress, and strengthens automated evaluation.
6 Commits • 1 Features
Jul 1, 2025July 2025 summary for ZJUSCT/HPC101: Consolidated Lab 3 CUDA Convolution into a single feature with end-to-end documentation, starter code for 2D convolution (int8 and FP16), tiling/shared-memory guidance, and a complete Online Judge workflow with updated visuals. This work improves onboarding, accelerates hands-on progress, and strengthens automated evaluation.
July 2025
Activity
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Quality Metrics
Correctness96.6%
Maintainability96.6%
Architecture96.6%
Performance53.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeCUDAMarkdownShellYAML
Technical Skills
C++CUDACUDA ProgrammingConvolutional Neural NetworksDeep Learning FundamentalsDocumentationGPU OptimizationGPU ProgrammingHigh-Performance ComputingTechnical Writing
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