Tencent/ncnn
Feb 2026 – Feb 2026
1 Month active
Languages Used
C++
Technical Skills
FP16 optimizationMatrix multiplication algorithmsPerformance optimizationRISC-V development
Xinyu Yang
PROFILE
Xinyu Yang
Worked on the Tencent/ncnn repository to deliver an FP16 GEMM optimization targeting RISC-V architectures. Developed a performance-focused matrix multiplication path using C++ that introduced FP16 support, along with packing and transpose helpers to enhance both speed and memory efficiency. The implementation enabled multi-data-type support and broadcasting for GEMM operations, expanding the range of compatible models and workloads. Collaborated with other contributors to integrate these changes, ensuring the feature addressed both performance and applicability requirements. The work demonstrated depth in performance optimization, matrix multiplication algorithms, and RISC-V development, resulting in a robust and efficient solution for neural network computation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,858
Activity Months1
Your Network
40 peopleShared Repositories
40
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for Tencent/ncnn focusing on FP16 GEMM optimization on RISC-V and related improvements. Delivered a performance-focused GEMM path with FP16 on RISC-V, including packing and transpose helpers, multi-type support and broadcasting; collaborated across teams to implement a high-impact feature with clear performance and memory-efficiency benefits.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for Tencent/ncnn focusing on FP16 GEMM optimization on RISC-V and related improvements. Delivered a performance-focused GEMM path with FP16 on RISC-V, including packing and transpose helpers, multi-type support and broadcasting; collaborated across teams to implement a high-impact feature with clear performance and memory-efficiency benefits.
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
FP16 optimizationMatrix multiplication algorithmsPerformance optimizationRISC-V development
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