ROCm/HIPIFY
Nov 2024 – Mar 2025
3 Months active
Languages Used
CC++CMakeCUDAMarkdownPerl
Technical Skills
API DevelopmentAPI MappingAPI MigrationBuild SystemsC++C++ Development
Aakanksha
PROFILE
Aakanksha
Paakan contributed to the ROCm/HIPIFY repository by engineering automated translation workflows for CUDA tensor and FFT libraries, focusing on cuTENSOR and cufftXt integration. Over three months, Paakan implemented robust code mapping and migration features, enabling seamless conversion of CUDA code to HIP equivalents. Using C++, CUDA, and Perl, Paakan developed and updated hipify-perl tooling, expanded datatype and function mappings, and introduced version handling and preprocessor guards to ensure API compatibility. The work included comprehensive documentation and test coverage, reducing porting effort and improving maintainability. Paakan’s contributions demonstrated depth in cross-language tooling, library integration, and automated code translation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
37Total
Bugs
0
Commits
37
Features
3
Lines of code
73,423
Activity Months3
Your Network
1294 people
Work History
March 2025
11 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03: Delivered cufftXt support and translation to hipFFT in ROCm/HIPIFY, enabling end-to-end porting of CUDA FFT codepaths to HIP FFT. Implemented cufftXt data types and function mappings, version handling, documentation, tests, and tooling updates to support automated translation and maintainability. The work establishes foundation for cross-ecosystem FFT portability and performance parity, with improvements across documentation and tooling to reduce future porting effort.
11 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03: Delivered cufftXt support and translation to hipFFT in ROCm/HIPIFY, enabling end-to-end porting of CUDA FFT codepaths to HIP FFT. Implemented cufftXt data types and function mappings, version handling, documentation, tests, and tooling updates to support automated translation and maintainability. The work establishes foundation for cross-ecosystem FFT portability and performance parity, with improvements across documentation and tooling to reduce future porting effort.
March 2025
December 2024
14 Commits • 1 Features
Dec 1, 2024December 2024 ROCm/HIPIFY monthly summary focusing on feature integration and migration tooling improvements. The core work centered on CuTensor/HIPTENSOR integration within HIPIFY, expanding ROCm 6.3.0 datatype support, and uplifting the CUDA-to-HIP migration workflow through tooling, tests, and docs. No discrete major bugs reported; efforts largely advanced feature parity, compatibility, and documentation to reduce migration risk and accelerate downstream adoption.
December 2024
14 Commits • 1 Features
Dec 1, 2024December 2024 ROCm/HIPIFY monthly summary focusing on feature integration and migration tooling improvements. The core work centered on CuTensor/HIPTENSOR integration within HIPIFY, expanding ROCm 6.3.0 datatype support, and uplifting the CUDA-to-HIP migration workflow through tooling, tests, and docs. No discrete major bugs reported; efforts largely advanced feature parity, compatibility, and documentation to reduce migration risk and accelerate downstream adoption.
November 2024
12 Commits • 1 Features
Nov 1, 2024In 2024-11, ROCm/HIPIFY delivered CuTensor integration to the HIP conversion tooling, enabling automated translation of cuTENSOR usage to HIP and strengthening CUDA-to-HIP migration workflows. Key outcomes include: (1) cuTENSOR support integrated into the hipify-perl workflow—mapping cuTENSOR types/status to HIP, header alignment, and cuTENSOR algorithms; (2) enhancements to hipify-perl for cuTENSOR includes/types and for warnings on unsupported ROCm HIP identifiers, with updated unit tests; (3) documentation generation and test coverage updated to reflect the new capabilities; and (4) syntax fixes and stabilization of the CuTensor integration path, including default cuTensor algorithm handling. Business value: reduces porting effort and accelerates vendor-adoption of ROCm by enabling automatic translation of cuTENSOR code, improving reliability and maintainability of the translation toolchain. Technologies/skills demonstrated: cross-language tooling (hipify-perl), library interop with cuTENSOR, code generation and test automation, documentation generation, and build/test quality controls.
12 Commits • 1 Features
Nov 1, 2024In 2024-11, ROCm/HIPIFY delivered CuTensor integration to the HIP conversion tooling, enabling automated translation of cuTENSOR usage to HIP and strengthening CUDA-to-HIP migration workflows. Key outcomes include: (1) cuTENSOR support integrated into the hipify-perl workflow—mapping cuTENSOR types/status to HIP, header alignment, and cuTENSOR algorithms; (2) enhancements to hipify-perl for cuTENSOR includes/types and for warnings on unsupported ROCm HIP identifiers, with updated unit tests; (3) documentation generation and test coverage updated to reflect the new capabilities; and (4) syntax fixes and stabilization of the CuTensor integration path, including default cuTensor algorithm handling. Business value: reduces porting effort and accelerates vendor-adoption of ROCm by enabling automatic translation of cuTENSOR code, improving reliability and maintainability of the translation toolchain. Technologies/skills demonstrated: cross-language tooling (hipify-perl), library interop with cuTENSOR, code generation and test automation, documentation generation, and build/test quality controls.
November 2024
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Quality Metrics
Correctness90.6%
Maintainability90.2%
Architecture88.0%
Performance83.6%
AI Usage21.2%
Skills & Technologies
Programming Languages
CC++CMakeCUDAMarkdownPerl
Technical Skills
API DevelopmentAPI IntegrationAPI MappingAPI MigrationAPI TranslationAPI VersioningBuild SystemsC++C++ DevelopmentCUDACUDA ProgrammingCode ConversionCode GenerationCode MappingCode Migration
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