ROCm/aiter
Apr 2026 – May 2026
2 Months active
Languages Used
C++Python
Technical Skills
CUDAData ProcessingGPU ProgrammingMachine LearningPerformance TuningC++ Development
eppaneamd
PROFILE
Eppaneamd
Worked on the ROCm/aiter repository to enhance GEMM kernel dispatch and configuration management for GPU-accelerated machine learning workloads. Focused on stabilizing multi-architecture support by introducing a GPU architecture-aware dispatch mechanism, updating build targets, and migrating configuration pipelines to include architecture context. Improved legacy compatibility and error handling to ensure robust operation across diverse hardware. In subsequent work, modularized and deduplicated configuration files for the ck_gemm_a8w8_blockscale module, consolidating tuned settings for multiple Qwen models to streamline deployment and future tuning. Utilized C++, CUDA, and Python scripting to optimize performance, maintainability, and cross-model readiness in data processing workflows.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
40,891
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
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for ROCm/aiter focusing on ck_gemm_a8w8_blockscale improvements, deduplication, and tuning configurations. The work emphasizes modularization, readability, and model-specific performance configurations to boost maintainability and cross-model efficiency.
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for ROCm/aiter focusing on ck_gemm_a8w8_blockscale improvements, deduplication, and tuning configurations. The work emphasizes modularization, readability, and model-specific performance configurations to boost maintainability and cross-model efficiency.
May 2026
April 2026
1 Commits
Apr 1, 2026April 2026 (ROCm/aiter): Focused on stabilizing CK GEMM across multi-architecture targets. Delivered a gfx-aware multi-arch build targeting and kernel dispatch fix, ensuring correct dispatch using GPU architecture information. Key config change: added gfx as a first-class column; updated build_targets, GEMM CSVs, and runtime dispatch keys to (gfx, cu_num, M, N, K). Also hardened legacy configs for compatibility. Result: reduced kernel collisions across architectures, improved correctness of GEMM tuning, and smoother live-GPU operation.
April 2026
1 Commits
Apr 1, 2026April 2026 (ROCm/aiter): Focused on stabilizing CK GEMM across multi-architecture targets. Delivered a gfx-aware multi-arch build targeting and kernel dispatch fix, ensuring correct dispatch using GPU architecture information. Key config change: added gfx as a first-class column; updated build_targets, GEMM CSVs, and runtime dispatch keys to (gfx, cu_num, M, N, K). Also hardened legacy configs for compatibility. Result: reduced kernel collisions across architectures, improved correctness of GEMM tuning, and smoother live-GPU operation.
Activity
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Quality Metrics
Correctness93.4%
Maintainability80.0%
Architecture80.0%
Performance86.6%
AI Usage46.6%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ DevelopmentCUDAData ProcessingGPU ProgrammingGPU programmingMachine LearningPerformance TuningPyTorchPython Scriptingconfiguration managementperformance optimization
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