ROCm/rocWMMA
Sep 2025 – Sep 2025
1 Month active
Languages Used
C++
Technical Skills
GEMM OptimizationGPU ComputingHigh-Performance ComputingLinear AlgebraLinear Algebra LibrariesPerformance Optimization
eliotwang
PROFILE
Eliotwang
During September 2025, Eliot Wang developed low-precision GEMM capabilities for the ROCm/rocWMMA repository, focusing on accelerating inference workloads and expanding hardware support. He engineered a performance-optimized FP8 GEMM kernel using C++ and ROCm, leveraging the rocWMMA cooperative API for inter-warp data sharing and implementing pre-fetching strategies to reduce memory latency. Eliot also enabled int8 GEMM support by updating type definitions and restructuring sample files, broadening test coverage for 8-bit matrix multiplication. His work demonstrated depth in GPU computing and performance optimization, addressing the need for efficient low-precision computation paths in high-performance linear algebra libraries and inference pipelines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
755
Activity Months1
Your Network
8 people
Work History
September 2025
2 Commits • 2 Features
Sep 1, 2025September 2025 monthly performance summary for ROCm/rocWMMA focusing on delivering low-precision GEMM capabilities and broadening test coverage for matrix multiply workloads. The month centered on implementing high-value kernels and enabling benchmarking for FP8 and int8 data paths, aligning with business goals of accelerating inference pipelines and expanding hardware utilization.
2 Commits • 2 Features
Sep 1, 2025September 2025 monthly performance summary for ROCm/rocWMMA focusing on delivering low-precision GEMM capabilities and broadening test coverage for matrix multiply workloads. The month centered on implementing high-value kernels and enabling benchmarking for FP8 and int8 data paths, aligning with business goals of accelerating inference pipelines and expanding hardware utilization.
September 2025
Activity
Loading activity data...
Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture95.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
GEMM OptimizationGPU ComputingHigh-Performance ComputingLinear AlgebraLinear Algebra LibrariesPerformance OptimizationROCmrocWMMA
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline