ROCm/aiter
Jun 2026 – Jun 2026
1 Month active
Languages Used
No languages
Technical Skills
Backend DevelopmentGPU ProgrammingMLIRPythonROCm
jli
PROFILE
Jli
During June 2026, contributed to the ROCm/aiter repository by developing RDNA4 wave32-optimized fused attention kernels to enhance high-performance attention on AMD gfx1250 hardware. The work involved porting fused attention compression and quantization kernels to the new architecture, implementing specialized wave32 load and store paths, and introducing scatter operations for efficient SWA cache writes. Additional efforts included updating dispatch routing, enabling in-kernel post-norm and rope key-value writes within a single launch, and maintaining code quality through formatting and CI integration. This engineering leveraged backend development, GPU programming, and Python, demonstrating depth in hardware-specific kernel optimization and collaborative development practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,136
Activity Months1
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
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for ROCm/aiter: Delivered RDNA4 wave32-optimized fused attention kernels to enable high-performance attention on RDNA4 hardware. Key work included porting fused attention compression and quantization kernels to gfx1250 wave32, adding specialized load/store paths and scatter operations for SWA cache writes; ported qk_norm_rope_quant and compress_attn to gfx1250 (wave32); added gfx1250 dispatch routing in existing entry points and a dedicated test file. Implemented fused SWA kv_write scatter path to gfx1250 qk_norm_rope_quant to support in-kernel post-norm/rope KV writes in the same launch. Cleaned up code with ruff format and black formatting, triggering CI re-run. Co-authored PRs with multiple contributors to advance hardware support and kernel quality.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for ROCm/aiter: Delivered RDNA4 wave32-optimized fused attention kernels to enable high-performance attention on RDNA4 hardware. Key work included porting fused attention compression and quantization kernels to gfx1250 wave32, adding specialized load/store paths and scatter operations for SWA cache writes; ported qk_norm_rope_quant and compress_attn to gfx1250 (wave32); added gfx1250 dispatch routing in existing entry points and a dedicated test file. Implemented fused SWA kv_write scatter path to gfx1250 qk_norm_rope_quant to support in-kernel post-norm/rope KV writes in the same launch. Cleaned up code with ruff format and black formatting, triggering CI re-run. Co-authored PRs with multiple contributors to advance hardware support and kernel quality.
June 2026
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
No languages yet
Technical Skills
Backend DevelopmentGPU ProgrammingMLIRPythonROCm
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