flashinfer-ai/flashinfer
Jan 2026 – Jan 2026
1 Month active
Languages Used
Python
Technical Skills
CUDADeep LearningGPU ProgrammingMachine LearningPerformance Optimization
HongliMi
PROFILE
Honglimi
Worked on the flashinfer-ai/flashinfer repository to integrate three CUDA-based GDN decode kernels, enhancing linear attention decoding for Qwen3-Next models on SM90 and SM100 GPUs. Developed a Python API with JIT compilation and caching to streamline deployment and reuse of these kernels. The work included comprehensive unit tests and reference implementations, covering various head configurations and data types such as float16 and bf16. An end-to-end benchmarking suite using torch.profiler was created to measure throughput and memory bandwidth, validating scalability. Integration with the FlashInfer core was stabilized through architecture checks and expanded test coverage, reducing the risk of regressions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
4,183
Activity Months1
Your Network
174 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for flashinfer-ai/flashinfer focused on delivering measurable business value and robust technical achievements.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for flashinfer-ai/flashinfer focused on delivering measurable business value and robust technical achievements.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
CUDADeep LearningGPU ProgrammingMachine LearningPerformance Optimization
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