
Evgeniy Mankov contributed to the ROCm/HIPIFY and ROCm/rocm-examples repositories, focusing on expanding CUDA compatibility and modernizing build systems. He implemented support for CUDA 12.8.0 in HIPIFY by updating driver and runtime API mappings, enhancing code translation reliability, and improving documentation for developer onboarding. Using C++, CMake, and scripting, he strengthened packaging and testing workflows to streamline CI and reduce integration risk. In ROCm/rocm-examples, Evgeniy upgraded Visual Studio project configurations to support HIP clang toolchains 6.4 and 7.0, ensuring ongoing compatibility and maintainability. His work demonstrated depth in low-level programming, build systems, and cross-platform tooling.

Concise monthly summary of ROCm rocm-examples work for 2025-09 focusing on build system modernization and toolchain compatibility.
Concise monthly summary of ROCm rocm-examples work for 2025-09 focusing on build system modernization and toolchain compatibility.
June 2025 monthly summary for ROCm/rocm-examples. Delivered HIP clang toolchain upgrade to 6.4 across all Visual Studio projects and updated configurations for VS2017, VS2019, and VS2022 to ensure compatibility with newer toolchains and maintain build stability of ROCm-Examples.
June 2025 monthly summary for ROCm/rocm-examples. Delivered HIP clang toolchain upgrade to 6.4 across all Visual Studio projects and updated configurations for VS2017, VS2019, and VS2022 to ensure compatibility with newer toolchains and maintain build stability of ROCm-Examples.
March 2025 focused on expanding CUDA compatibility in HIPIFY for ROCm/HIPIFY, delivering CUDA 12.8.0 Driver API and Runtime API support, with comprehensive data type and function mappings, plus documentation and tooling updates to improve cross-vendor portability and downstream build reliability. Key efforts included implementing Driver API data types and functions (with driver-type mapping alignment) and updating related docs and hipify-perl, as part of an end-to-end 12.8.0 integration workflow; and adding Runtime API data types (including memory types, device attributes, error types) along with FP4/FP6 support, with corresponding CUDA2HIP mapping updates and extensive commits. These changes enhance maintainability, reduce integration risk for CUDA 12.8.0 targets, and improve developer productivity through better docs and tooling.
March 2025 focused on expanding CUDA compatibility in HIPIFY for ROCm/HIPIFY, delivering CUDA 12.8.0 Driver API and Runtime API support, with comprehensive data type and function mappings, plus documentation and tooling updates to improve cross-vendor portability and downstream build reliability. Key efforts included implementing Driver API data types and functions (with driver-type mapping alignment) and updating related docs and hipify-perl, as part of an end-to-end 12.8.0 integration workflow; and adding Runtime API data types (including memory types, device attributes, error types) along with FP4/FP6 support, with corresponding CUDA2HIP mapping updates and extensive commits. These changes enhance maintainability, reduce integration risk for CUDA 12.8.0 targets, and improve developer productivity through better docs and tooling.
February 2025 – ROCm/HIPIFY: Focused on expanding CUDA translation coverage, increasing reliability of API warnings, and strengthening packaging and documentation to support faster adoption and smoother CI. Delivered four focused areas: CUDA 12.8.0 support in HIPIFY, improved warnings for unsupported HIP APIs in hipify-perl, packaging improvements to ensure execution permissions for hipify-perl and auxiliary scripts, and updated docs/testing to reflect the latest cuTensor, cuDNN, and Python versions. Business impact includes broader CUDA compatibility, clearer developer guidance, easier installation, and an up-to-date testing matrix.
February 2025 – ROCm/HIPIFY: Focused on expanding CUDA translation coverage, increasing reliability of API warnings, and strengthening packaging and documentation to support faster adoption and smoother CI. Delivered four focused areas: CUDA 12.8.0 support in HIPIFY, improved warnings for unsupported HIP APIs in hipify-perl, packaging improvements to ensure execution permissions for hipify-perl and auxiliary scripts, and updated docs/testing to reflect the latest cuTensor, cuDNN, and Python versions. Business impact includes broader CUDA compatibility, clearer developer guidance, easier installation, and an up-to-date testing matrix.
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