ROCm/aiter
Apr 2026 – Jun 2026
3 Months active
Languages Used
C++PythonJSON
Technical Skills
C++ programmingData ProcessingGPU ProgrammingMachine LearningPerformance Tuningalgorithm design
chuanbowang2026
PROFILE
Chuanbowang2026
Worked on the ROCm/aiter repository to deliver targeted GPU performance optimizations and reliability improvements for model inference workloads. Focused on tuning GEMM operations for MI308 and gfx1201 architectures, introducing configuration-driven approaches to optimize block sizes, group sizes, and warp counts for Qwen3-8B-FP8. Enhanced Top-K and sampling kernels using CUDA, implementing radix-based algorithms and thread-local accumulation to reduce latency and improve determinism. Addressed stability by fixing cross-block synchronization issues and ensuring robust CUDAGraph replay behavior. Leveraged C++, Python, and configuration management to expand test coverage, align with upstream practices, and maintain clear traceability between code changes and performance outcomes.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
3
Lines of code
8,445
Activity Months3
Your Network
1985 peopleSame Organization
@amd.com1733
7b30f3f5e26d48061f873d04cc7e1d1f_amdengMember
GunaShekar, AjayMember
aasbodduMember
Abdul Lateef AttarMember
Acim MaravicMember
Adam DickinMember
Pryor, AdamMember
Pryor, AdamMember
Adel JoharMember
Work History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 monthly performance summary for ROCm/aiter: Focused on performance optimization for gfx1201 and reliability improvements in CUDAGraph workflows. Delivered targeted GEMM optimizations for Qwen3-8B-FP8 on gfx1201, with new configuration files and tuned block sizes, group sizes, and warp counts to boost decoding and prefill efficiency. Addressed CUDAGraph replay stability by unconditionally selecting the one-block kernel path for top-k decoding, preventing cross-block deadlocks and ensuring correct behavior under replay conditions. These efforts improve throughput and stability for production inference workloads and reduce risk of stalls in multi-stream GPU execution. Demonstrated expertise in low-level GPU optimization, kernel dispatch strategies, and Python/C++ integration with clear traceability to commits.
2 Commits • 1 Features
Jun 1, 2026June 2026 monthly performance summary for ROCm/aiter: Focused on performance optimization for gfx1201 and reliability improvements in CUDAGraph workflows. Delivered targeted GEMM optimizations for Qwen3-8B-FP8 on gfx1201, with new configuration files and tuned block sizes, group sizes, and warp counts to boost decoding and prefill efficiency. Addressed CUDAGraph replay stability by unconditionally selecting the one-block kernel path for top-k decoding, preventing cross-block deadlocks and ensuring correct behavior under replay conditions. These efforts improve throughput and stability for production inference workloads and reduce risk of stalls in multi-stream GPU execution. Demonstrated expertise in low-level GPU optimization, kernel dispatch strategies, and Python/C++ integration with clear traceability to commits.
June 2026
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary focusing on delivering performance, correctness, and robustness improvements to the ROCm/aiter Top-K and sampling paths, with strong emphasis on business impact for model-inference latency and reliability.
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary focusing on delivering performance, correctness, and robustness improvements to the ROCm/aiter Top-K and sampling paths, with strong emphasis on business impact for model-inference latency and reliability.
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 milestones for ROCm/aiter centered on MI308 GEMM performance enhancements and robustness. Focused i8 GEMM tuning for MI308 (gfx942) with ASM-path optimizations, expanded testing coverage for int8 GEMM/bpreshuffle, and retuned the a8w8_blockscale_gemm path to improve throughput and resource utilization. Also addressed stability and quality through targeted bug fixes, CI/test improvements, and alignment with upstream practices to strengthen long-term maintainability and performance visibility.
2 Commits • 1 Features
Apr 1, 2026April 2026 milestones for ROCm/aiter centered on MI308 GEMM performance enhancements and robustness. Focused i8 GEMM tuning for MI308 (gfx942) with ASM-path optimizations, expanded testing coverage for int8 GEMM/bpreshuffle, and retuned the a8w8_blockscale_gemm path to improve throughput and resource utilization. Also addressed stability and quality through targeted bug fixes, CI/test improvements, and alignment with upstream practices to strengthen long-term maintainability and performance visibility.
April 2026
Activity
Loading activity data...
Quality Metrics
Correctness86.6%
Maintainability83.4%
Architecture83.4%
Performance96.6%
AI Usage43.4%
Skills & Technologies
Programming Languages
C++JSONPython
Technical Skills
C++C++ programmingCUDAConfiguration managementData ProcessingData StructuresGPU ProgrammingGPU programmingMachine LearningPerformance OptimizationPerformance TuningPerformance optimizationPyTorchPythonROCm
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline