ROCm/composable_kernel
Feb 2026 – Jun 2026
3 Months active
Languages Used
C++
Technical Skills
CUDAGPU ProgrammingHigh-Performance ComputingC++ developmentsoftware architecturetemplate metaprogramming
Márton Bidlek
PROFILE
Márton Bidlek
Over a three-month period, contributed to the ROCm/composable_kernel repository by developing and refactoring high-performance GPU computing features in C++ and CUDA. Delivered a WMMA-based grouped GEMM implementation for RDNA4, replacing the XDL kernel and introducing automated testing and profiling infrastructure to improve cross-GPU compatibility and test coverage. Refactored CK-Builder reflection code using advanced template metaprogramming to eliminate circular dependencies and enhance maintainability. Later, restructured block-level GEMM pipelines to use named functors instead of lambdas, reducing code repetition and achieving a 17.6% compile-time improvement. Work emphasized maintainable software architecture, performance optimization, and robust regression testing practices throughout.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
10,153
Activity Months3
Your Network
101 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for ROCm/composable_kernel: Delivered a major refactor of block-level GEMM pipelines to use named functors, replacing lambdas to reduce code repetition and improve compile times. Observed a mean compile-time improvement of 17.6% (37.734s before vs 32.087s after) across 100 compilations and validated with a full CK compilation on Alola. This work enhances maintainability and sets the stage for broader performance-oriented refactors across WMMAOPS, XDLOPS, and related pipelines. No major bugs fixed this month.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for ROCm/composable_kernel: Delivered a major refactor of block-level GEMM pipelines to use named functors, replacing lambdas to reduce code repetition and improve compile times. Observed a mean compile-time improvement of 17.6% (37.734s before vs 32.087s after) across 100 compilations and validated with a full CK compilation on Alola. This work enhances maintainability and sets the stage for broader performance-oriented refactors across WMMAOPS, XDLOPS, and related pipelines. No major bugs fixed this month.
June 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for ROCm/composable_kernel: Key features delivered: - CK-Builder Reflection Refactor: eliminated forward declarations in device operation templates, enabled lazy template evaluation, and added a dedicated .inc for InstanceTraits specialization to improve maintainability and avoid circular dependencies. Commit: 683865895ea875f6f2d46a9c25fc1b1f99154b07. Major bugs fixed: - Resolved a circular-dependency risk in CK-Builder reflection by removing forward declarations and applying lazy evaluation, reducing undefined symbol errors and build fragility. Overall impact and accomplishments: - Significantly improved maintainability and clarity of CK-Builder reflection code, enabling smoother integration of new device ops and easier future refactors. Verified with existing CK Builder regression tests; no regressions observed. Technologies/skills demonstrated: - Advanced C++ template metaprogramming, lazy template evaluation, modular code organization with .inc files, and regression testing discipline.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for ROCm/composable_kernel: Key features delivered: - CK-Builder Reflection Refactor: eliminated forward declarations in device operation templates, enabled lazy template evaluation, and added a dedicated .inc for InstanceTraits specialization to improve maintainability and avoid circular dependencies. Commit: 683865895ea875f6f2d46a9c25fc1b1f99154b07. Major bugs fixed: - Resolved a circular-dependency risk in CK-Builder reflection by removing forward declarations and applying lazy evaluation, reducing undefined symbol errors and build fragility. Overall impact and accomplishments: - Significantly improved maintainability and clarity of CK-Builder reflection code, enabling smoother integration of new device ops and easier future refactors. Verified with existing CK Builder regression tests; no regressions observed. Technologies/skills demonstrated: - Advanced C++ template metaprogramming, lazy template evaluation, modular code organization with .inc files, and regression testing discipline.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered the RDNA4 WMMA-based device_grouped_gemm_fixed_nk implementation for ROCm/composable_kernel, replacing the XDL kernel with a WMMA-based path. Added unit tests for both the WMMA and reference XDL implementations and introduced a generic profiler interface to enable automated testing. No major bugs fixed this month; focus was on enabling the RDNA4 path, test coverage, and tooling to support future performance tuning. This work improves cross-GPU compatibility, testability, and reliability of the grouped GEMM feature, strengthens the foundation for performance optimization, and demonstrates proficiency in WMMA, RDNA4, and HIP-based GPU kernels.
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered the RDNA4 WMMA-based device_grouped_gemm_fixed_nk implementation for ROCm/composable_kernel, replacing the XDL kernel with a WMMA-based path. Added unit tests for both the WMMA and reference XDL implementations and introduced a generic profiler interface to enable automated testing. No major bugs fixed this month; focus was on enabling the RDNA4 path, test coverage, and tooling to support future performance tuning. This work improves cross-GPU compatibility, testability, and reliability of the grouped GEMM feature, strengthens the foundation for performance optimization, and demonstrates proficiency in WMMA, RDNA4, and HIP-based GPU kernels.
February 2026
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture86.6%
Performance73.4%
AI Usage26.6%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ developmentCUDAGPU ProgrammingGPU programmingHigh-Performance ComputingPerformance optimizationsoftware architecturetemplate metaprogramming
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