ROCm/aiter
Feb 2025 – Feb 2025
1 Month active
Languages Used
C++Python
Technical Skills
CUDACUDA/HIPDeep LearningDeep Learning OptimizationGPU ComputingKernel Optimization
feli
PROFILE
Feli
Felix worked on the ROCm/aiter repository, delivering Int4 quantization support for fused Mixture-of-Experts (MoE) models to improve inference efficiency and reduce memory usage. He developed new Int4 kernels in C++ and CUDA, refactoring the kernel tile selection logic to be dynamic and supporting tile sizes of 128, 256, and 512. Felix updated unit tests and binary kernel files in Python to validate both performance and accuracy under Int4 workloads. His work focused on feature delivery and robust testing, contributing to the repository’s readiness for large-scale MoE deployments and enhancing throughput for deep learning model optimization.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
204
Activity Months1
Your Network
189 peopleShared Repositories
189
Thomas WangMember
valarLipMember
Shiyan DengMember
soMember
Adrian AbeytaMember
Alex ButlerMember
azaidyMember
amirumoAMDMember
Andrea PicciauMember
Work History
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ROCm/aiter focusing on business value and technical achievements. Delivered Int4 quantization support for fused MoE with new int4 kernels, enabling more efficient inference and reduced memory footprint. Implemented int4 kernel optimizations within the aiter repository, including refactored heuristic tile selection to be dynamic and added support for tile sizes 128, 256, and 512. Updated unit tests and binary kernel files to validate performance and accuracy under Int4 workloads. Commits related to this work include 49b218b73f7d259e13df059ef23df2b00c308e1c (Dev/devx (#139)) and e0e14341b8c237b0cbc215c4995e7db05b1584ba (Update int4 (#141)). No major bugs reported in this period; the focus was on feature delivery and testing to drive efficiency and scale for large MoE models.
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ROCm/aiter focusing on business value and technical achievements. Delivered Int4 quantization support for fused MoE with new int4 kernels, enabling more efficient inference and reduced memory footprint. Implemented int4 kernel optimizations within the aiter repository, including refactored heuristic tile selection to be dynamic and added support for tile sizes 128, 256, and 512. Updated unit tests and binary kernel files to validate performance and accuracy under Int4 workloads. Commits related to this work include 49b218b73f7d259e13df059ef23df2b00c308e1c (Dev/devx (#139)) and e0e14341b8c237b0cbc215c4995e7db05b1584ba (Update int4 (#141)). No major bugs reported in this period; the focus was on feature delivery and testing to drive efficiency and scale for large MoE models.
February 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
CUDACUDA/HIPDeep LearningDeep Learning OptimizationGPU ComputingKernel OptimizationModel OptimizationQuantizationTesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline