ROCm/aiter
Oct 2025 – May 2026
2 Months active
Languages Used
C++Python
Technical Skills
C++GPU ComputingLinear Algebra LibrariesMatrix MultiplicationPerformance OptimizationPython
kliuae-amd
PROFILE
Kliuae-amd
Worked on the ROCm/aiter repository to enhance stability and performance in GPU-accelerated matrix operations and inference workloads. Focused on C++ and CUDA, the developer addressed a rowwise scaling bug in the a8w8 GEMM path by refining the swizzled hipb_mm implementation and introducing a bpreshuffle parameter for version-aware behavior across hipBLASLt releases. They also fixed an indexing issue in the cp_gather_indexer_k_cache kernel, improving data handling reliability in inference engines. Updates to the testing framework and unit tests ensured correctness and compatibility, while collaboration with other contributors emphasized production readiness and reduced risk in deployment environments.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
238
Activity Months2
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
May 2026
1 Commits
May 1, 2026May 2026 monthly performance and impact summary for ROCm/aiter. Focused on correctness and reliability in the inference path. The primary delivery this month was a critical bug fix addressing an indexing issue in the cp_gather_indexer_k_cache kernel, which impacts data handling in inference engines. No new features shipped; the work emphasizes stability and production-readiness.
1 Commits
May 1, 2026May 2026 monthly performance and impact summary for ROCm/aiter. Focused on correctness and reliability in the inference path. The primary delivery this month was a critical bug fix addressing an indexing issue in the cp_gather_indexer_k_cache kernel, which impacts data handling in inference engines. No new features shipped; the work emphasizes stability and production-readiness.
May 2026
October 2025
1 Commits
Oct 1, 2025Month: 2025-10. Focused on stabilizing and accelerating the a8w8 GEMM path in ROCm/aiter. Key deliverables include a rowwise scaling bug fix in the swizzled hipb_mm implementation, addition of bpreshuffle parameter to enable version-aware behavior across hipBLASLt releases, and testing framework improvements to accommodate the changes. Updated unit tests to guard hipb_mm output types and refined rowwise tuning. These efforts improved correctness, cross-version compatibility, and test coverage with minimal risk to production workloads.
October 2025
1 Commits
Oct 1, 2025Month: 2025-10. Focused on stabilizing and accelerating the a8w8 GEMM path in ROCm/aiter. Key deliverables include a rowwise scaling bug fix in the swizzled hipb_mm implementation, addition of bpreshuffle parameter to enable version-aware behavior across hipBLASLt releases, and testing framework improvements to accommodate the changes. Updated unit tests to guard hipb_mm output types and refined rowwise tuning. These efforts improved correctness, cross-version compatibility, and test coverage with minimal risk to production workloads.
Activity
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Quality Metrics
Correctness95.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++CUDAGPU ComputingGPU ProgrammingLinear Algebra LibrariesMatrix MultiplicationParallel ComputingPerformance OptimizationPythonQuantization
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