pytorch/pytorch
May 2025 – May 2026
2 Months active
Languages Used
C++
Technical Skills
CUDACUDA programmingGPU ProgrammingGPU optimizationGPU programmingParallel computing
Jerry Mannil
PROFILE
Jerry Mannil
Worked on the pytorch/pytorch repository to enhance GPU performance and reliability for core tensor operations, focusing on both CUDA and ROCm backends. Delivered targeted kernel and runtime optimizations for MI300X elementwise operations, including non-vectorized loop unrolling and vectorized execution improvements using non-temporal loads and optimized thread work sizes. Addressed a critical performance regression in NHWC 3D tensor reductions by refining CUDA reduction configurations for non-contiguous tensors. Additionally, fixed ROCm performance regressions in index_add and index_reduce on AMD GPUs, restoring expected efficiency. The work leveraged C++, CUDA programming, and parallel computing to ensure robust, cross-platform performance improvements.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
6Total
Bugs
2
Commits
6
Features
2
Lines of code
255
Activity Months2
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2689 peopleSame Organization
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Work History
May 2026
1 Commits
May 1, 2026May 2026 monthly summary for pytorch/pytorch focusing on ROCm performance stability for core tensor ops. Delivered a targeted bug fix addressing ROCm performance regression in index_add and index_reduce on AMD GPUs, restoring expected efficiency and functionality. The fix was implemented in the commit f8e4d57cdd6dd08b5a39d28208cfcf973bc83b5f and merged via PR #182533, resolving PyTorch issue #182525. PR received approvals from key maintainers (Jeff Daily and Haoyuz) and is now merged, preserving cross-platform performance parity and reliability.
1 Commits
May 1, 2026May 2026 monthly summary for pytorch/pytorch focusing on ROCm performance stability for core tensor ops. Delivered a targeted bug fix addressing ROCm performance regression in index_add and index_reduce on AMD GPUs, restoring expected efficiency and functionality. The fix was implemented in the commit f8e4d57cdd6dd08b5a39d28208cfcf973bc83b5f and merged via PR #182533, resolving PyTorch issue #182525. PR received approvals from key maintainers (Jeff Daily and Haoyuz) and is now merged, preserving cross-platform performance parity and reliability.
May 2026
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.
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.
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture90.0%
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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