ROCm/aiter
May 2026 – Jul 2026
3 Months active
Languages Used
AssemblyC++COFF
Technical Skills
C++Error HandlingGPU ProgrammingGPU programmingKernel developmentPerformance optimization
alexioslyrakis-amd
PROFILE
Alexioslyrakis-amd
Developed and optimized GPU kernels for the ROCm/aiter repository, focusing on performance, reliability, and hardware compliance across MI300X, gfx942, and gfx950 platforms. Leveraged C++, Python, and GCN Assembly to implement init-time sanity checks, deterministic execution paths, and new FP8 and BF16 kernel variants, directly improving throughput and stability for machine learning workloads. Introduced a vmcnt-optimized 16x128 FMoE kernel and enabled flat dispatch paths for MI308 GPUs, reducing decode latency and mitigating out-of-bounds load risks. Enhanced test coverage and integration, ensuring correctness and cross-architecture compatibility while expanding support for advanced ML inference and training scenarios.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
5
Lines of code
174
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
July 2026
1 Commits • 1 Features
Jul 1, 2026July 2026 ROCm/aiter: Performance-focused feature delivery with stability improvements. Implemented a new optimized 16x128 FMoE kernel (vmcnt-optimized) for gfx942, enabling a flat dispatch path on MI308 GPUs, and fixed potential out-of-bounds loads during scaling. Updated GLM-5 tuned configurations to leverage the performance gains. Commit 788e965abe9952dbdd1b88ef547bd109a5823fdf documents the work, including the flat_pf3 1-stage FMoE kernel for GLM-5.2-FP8 decode and related optimizations. Business impact: faster GLM-5 decode, lower latency, and improved GPU utilization with maintained stability across decode paths.
1 Commits • 1 Features
Jul 1, 2026July 2026 ROCm/aiter: Performance-focused feature delivery with stability improvements. Implemented a new optimized 16x128 FMoE kernel (vmcnt-optimized) for gfx942, enabling a flat dispatch path on MI308 GPUs, and fixed potential out-of-bounds loads during scaling. Updated GLM-5 tuned configurations to leverage the performance gains. Commit 788e965abe9952dbdd1b88ef547bd109a5823fdf documents the work, including the flat_pf3 1-stage FMoE kernel for GLM-5.2-FP8 decode and related optimizations. Business impact: faster GLM-5 decode, lower latency, and improved GPU utilization with maintained stability across decode paths.
July 2026
June 2026
2 Commits • 2 Features
Jun 1, 2026June 2026 ROCm/aiter: Delivered two high-impact GPU kernels for gfx950 MLA workloads, focusing on deterministic execution, test coverage, and expanded bf16/fp8 support. The work directly improves throughput, reliability, and predictability for LLM-style inference/training on MI-based GPUs.
June 2026
2 Commits • 2 Features
Jun 1, 2026June 2026 ROCm/aiter: Delivered two high-impact GPU kernels for gfx950 MLA workloads, focusing on deterministic execution, test coverage, and expanded bf16/fp8 support. The work directly improves throughput, reliability, and predictability for LLM-style inference/training on MI-based GPUs.
May 2026
2 Commits • 2 Features
May 1, 2026May 2026: Delivered reliability and performance improvements for AiterAsmKernel and MI300X kernels. Implemented init-time sanity checks for .co registration and a registration probe to catch runtime rejections early, preventing hard failures at launch. Fixed LDS size for BF16 mla_qh8 on MI300X (gfx942) to satisfy hardware limits and added FP8 mla_qh8 kernel to boost performance. Co-authored FP8 kernel and updated metadata to reflect FP8 support. Result: increased stability, cross-arch compatibility, and improved throughput for FP8-optimized paths.
2 Commits • 2 Features
May 1, 2026May 2026: Delivered reliability and performance improvements for AiterAsmKernel and MI300X kernels. Implemented init-time sanity checks for .co registration and a registration probe to catch runtime rejections early, preventing hard failures at launch. Fixed LDS size for BF16 mla_qh8 on MI300X (gfx942) to satisfy hardware limits and added FP8 mla_qh8 kernel to boost performance. Co-authored FP8 kernel and updated metadata to reflect FP8 support. Result: increased stability, cross-arch compatibility, and improved throughput for FP8-optimized paths.
May 2026
Activity
Loading activity data...
Quality Metrics
Correctness92.0%
Maintainability80.0%
Architecture92.0%
Performance88.0%
AI Usage52.0%
Skills & Technologies
Programming Languages
AssemblyC++COFF
Technical Skills
C++CUDACUDA/HIPError HandlingGCN AssemblyGPU Kernel OptimizationGPU ProgrammingGPU programmingKernel developmentMachine LearningPerformance optimizationPythonROCm
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline