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stevenshenyj

PROFILE

Stevenshenyj

Worked on the ROCm/aiter repository to expand GPU hardware support and optimize kernel performance using CUDA, HIP, and Python. Delivered three features over two months, including adding gfx12 architecture support with backward-compatible enhancements and implementing GemmaRMSNorm and FP8 KV cache support for the fused QK-norm MRoPE kernel on gfx1201. Developed channel-last memory layout support for the causal_conv1d_fwd_split_qkv HIP kernel, introducing dynamic dispatch based on input strides. Focused on performance optimization and cross-architecture compatibility, while maintaining comprehensive test coverage with PyTest and PyTorch to ensure reliability and guard against regressions. No major bugs were reported.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
3
Lines of code
559
Activity Months2

Work History

July 2026

2 Commits • 2 Features

Jul 1, 2026

July 2026 monthly summary for ROCm/aiter. No explicit bug fixes reported this month; focus was on delivering performance-oriented kernel enhancements and expanding hardware support with solid test coverage. Key features delivered include GemmaRMSNorm and FP8 KV cache support for the fused QK-norm MRoPE kernel on gfx1201 (commit 6d6bf8d71849317e695e044eb22f0bd87611a4a6) and channel-last memory layout support for the causal_conv1d_fwd_split_qkv HIP kernel, with dynamic path dispatch based on input strides (commit 3db44d50a693a8c9bf535d6113cbcd73443af226). Added comprehensive tests to validate configurations and guard against regressions.

June 2026

1 Commits • 1 Features

Jun 1, 2026

Month: 2026-06. Focused on expanding hardware support and maintaining backward compatibility in ROCm/aiter. Delivered gfx12 architecture support with backward-compatible enhancements, enabling operations on gfx12 and improving performance through targeted flags and assembly optimizations. No major bugs reported this month; work centers on feature delivery and code quality, setting the stage for broader deployment on newer GPUs.

Activity

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Quality Metrics

Correctness93.4%
Maintainability80.0%
Architecture80.0%
Performance93.4%
AI Usage60.0%

Skills & Technologies

Programming Languages

CUDAPython

Technical Skills

C++CUDACUDA programmingCUDA/HIP KernelsGPU Kernel OptimizationGPU ProgrammingGPU programmingHIPPyTestPyTorchPythonPython developmentROCmperformance optimization

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

ROCm/aiter

Jun 2026 Jul 2026
2 Months active

Languages Used

CUDAPython

Technical Skills

CUDA programmingGPU programmingPython developmentperformance optimizationC++CUDA