pytorch/pytorch
May 2025 – May 2025
1 Month active
Languages Used
C++
Technical Skills
CUDACUDA programmingGPU ProgrammingGPU optimizationGPU programmingParallel computing
Jerry Mannil
PROFILE
Jerry Mannil
Jerry Mannil contributed targeted performance and reliability improvements to the pytorch/pytorch repository, focusing on the ROCm/MI300X path. He optimized elementwise kernel execution by applying non-vectorized loop unrolling, vectorized execution enhancements, and non-temporal memory loads, all implemented in C++ with CUDA for efficient GPU utilization. Jerry also addressed a reduction performance regression for NHWC 3D tensors by refining CUDA reduction configurations, improving throughput for non-contiguous ChannelsLast layouts. Additionally, he enhanced maxpool kernel launch configurations by adjusting block strides and thread limits. His work demonstrated depth in GPU programming, parallel computing, and performance optimization within a complex codebase.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
239
Activity Months1
Your Network
1959 people
Work History
May 2025
5 Commits • 2 Features
May 1, 2025Concise monthly summary for 2025-05 focusing on performance and reliability improvements in the PyTorch ROCm/MI300X path. Delivered targeted kernel and runtime optimizations to boost throughput for elementwise ops, fixed a critical reduction performance regression for NHWC 3D tensors, and improved maxpool kernel launch configuration to enhance GPU utilization.
5 Commits • 2 Features
May 1, 2025Concise monthly summary for 2025-05 focusing on performance and reliability improvements in the PyTorch ROCm/MI300X path. Delivered targeted kernel and runtime optimizations to boost throughput for elementwise ops, fixed a critical reduction performance regression for NHWC 3D tensors, and improved maxpool kernel launch configuration to enhance GPU utilization.
May 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture92.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
CUDACUDA programmingGPU ProgrammingGPU optimizationGPU programmingParallel computingPerformance OptimizationPerformance optimizationTensor Operations
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