ROCm/aiter
Dec 2025 – Jan 2026
2 Months active
Languages Used
Python
Technical Skills
GPU ProgrammingMatrix MultiplicationPerformance BenchmarkingQuantizationDeep LearningMachine Learning
Nicholas Susanto
PROFILE
Nicholas Susanto
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
5,415
Activity Months2
Your Network
1526 people
Work History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 accomplishments focused on performance optimization and benchmarking readiness for MoE workloads in ROCm/aiter. Delivered two major MoE kernel enhancements: a4w4 GEMM kernel and an a8w8 blockscale MoE, with performance improvements from quantization, XCD swizzle, and improved routing, plus profiling, benchmarking, and test infrastructure upgrades. Shipped via commits 9eecdecb0d43a3e5cf2c57e418256ea3b0a4cb85 and f600a109b127685e95ff56a0f8683c1720b3e5ec. Follow-ups added kernel name suffixes (layer1/layer2) for easier profiling and introduced a --num-weight-inits flag to improve benchmark averaging. To preserve reliability, a4w4 unit tests on MI300 were gated. Overall impact includes faster MoE throughput, improved benchmarking reproducibility, and enhanced profiling support across devices; demonstrated expertise in GPU kernel design, quantization, performance tuning, and instrumentation.
2 Commits • 1 Features
Jan 1, 2026January 2026 accomplishments focused on performance optimization and benchmarking readiness for MoE workloads in ROCm/aiter. Delivered two major MoE kernel enhancements: a4w4 GEMM kernel and an a8w8 blockscale MoE, with performance improvements from quantization, XCD swizzle, and improved routing, plus profiling, benchmarking, and test infrastructure upgrades. Shipped via commits 9eecdecb0d43a3e5cf2c57e418256ea3b0a4cb85 and f600a109b127685e95ff56a0f8683c1720b3e5ec. Follow-ups added kernel name suffixes (layer1/layer2) for easier profiling and introduced a --num-weight-inits flag to improve benchmark averaging. To preserve reliability, a4w4 unit tests on MI300 were gated. Overall impact includes faster MoE throughput, improved benchmarking reproducibility, and enhanced profiling support across devices; demonstrated expertise in GPU kernel design, quantization, performance tuning, and instrumentation.
January 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for ROCm/aiter: Delivered a new MoE GEMM a8w8 kernel for Triton with unit tests and benchmarks, expanding support for quantized matrix multiplication and enabling efficient MoE workloads. The work included kernel definitions, utility functions, and performance testing scripts to characterize throughput on quantized data paths. No major bugs fixed this month; focus was on feature delivery, testing, and performance evaluation to drive reliability and scalability of MoE workflows.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for ROCm/aiter: Delivered a new MoE GEMM a8w8 kernel for Triton with unit tests and benchmarks, expanding support for quantized matrix multiplication and enabling efficient MoE workloads. The work included kernel definitions, utility functions, and performance testing scripts to characterize throughput on quantized data paths. No major bugs fixed this month; focus was on feature delivery, testing, and performance evaluation to drive reliability and scalability of MoE workflows.
Activity
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture86.6%
Performance86.6%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Deep LearningGPU ProgrammingMachine LearningMatrix MultiplicationPerformance BenchmarkingPyTorchQuantizationTriton
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