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Afroz Mohiuddin

PROFILE

Afroz Mohiuddin

Developed a dynamic constraint system for the fzyzcjy/triton repository, introducing a max_allowable_mn parameter to optimize scratch memory usage in Triton kernels during large matrix multiplication tasks. This feature enables memory-aware kernel launches by adjusting the split_k parameter based on the product of matrix dimensions, directly addressing performance and resource management challenges in GPU computing. The implementation involved updates to opt_flags.py and the creation of comprehensive tests in Python to ensure robust functionality across varying matrix sizes. Work focused on constraint management and performance optimization, leveraging both Python and C++ to enhance technical reliability and business value within the Triton framework.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
240
Activity Months1

Your Network

360 people

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

Monthly summary for 2025-10 — fzyzcjy/triton: Implemented dynamic max_allowable_mn constraint for split_k in Triton kernels to optimize scratch memory usage for large matrices; updated configuration and tests; focused on business value and technical robustness.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++Python

Technical Skills

Constraint ManagementGPU ComputingMatrix MultiplicationPerformance OptimizationTriton Kernels

Repositories Contributed To

1 repo

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

fzyzcjy/triton

Oct 2025 Oct 2025
1 Month active

Languages Used

C++Python

Technical Skills

Constraint ManagementGPU ComputingMatrix MultiplicationPerformance OptimizationTriton Kernels