ROCm/composable_kernel
Dec 2025 – Jan 2026
2 Months active
Languages Used
C++
Technical Skills
CUDAConvolution AlgorithmsGPU ProgrammingPerformance OptimizationGPU programmingPerformance optimization
ApoorvaKalyani
PROFILE
Apoorvakalyani
Over a two-month period, contributed to the ROCm/composable_kernel repository by developing advanced grouped convolution features and optimizing tensor operations for GPU architectures. Implemented the grouped convolution backward data path using WMMA v3 for both 2D and 3D cases, supporting multiple data types and layouts, and expanded regression and scenario-based test coverage to ensure robustness. Enhanced performance and reliability through device-level refactoring, bias and batch normalization integration, and improved initialization for numerical stability on RDNA3 hardware. Leveraged C++ and CUDA for device and kernel development, focusing on performance optimization, build maintainability, and comprehensive testing to support cross-platform reliability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
5,662
Activity Months2
Your Network
99 peopleWork History
January 2026
2 Commits • 2 Features
Jan 1, 2026January 2026 focused on performance and reliability for grouped convolution and integer-to-half conversion in ROCm/composable_kernel. Delivered features emphasize throughput, stability, and hardware compatibility across architectures, with substantial test coverage and maintainability improvements.
2 Commits • 2 Features
Jan 1, 2026January 2026 focused on performance and reliability for grouped convolution and integer-to-half conversion in ROCm/composable_kernel. Delivered features emphasize throughput, stability, and hardware compatibility across architectures, with substantial test coverage and maintainability improvements.
January 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for ROCm/composable_kernel focusing on feature delivery, reliability, and technical impact. Key context: Implemented grouped convolution backward data path using WMMA v3 for 2D/3D, with broad data type and layout support; expanded tests and regression coverage; improved build stability and maintainability.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for ROCm/composable_kernel focusing on feature delivery, reliability, and technical impact. Key context: Implemented grouped convolution backward data path using WMMA v3 for 2D/3D, with broad data type and layout support; expanded tests and regression coverage; improved build stability and maintainability.
Activity
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Quality Metrics
Correctness80.0%
Maintainability73.4%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
CUDAConvolution AlgorithmsGPU ProgrammingGPU programmingPerformance OptimizationPerformance optimizationTesting
Repositories Contributed To
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