Jörg
Research Engineer
Summary
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RockstarJörg is a research engineer with 11 years of software development experience focused on high-performance heterogeneous computing. He contributes to upstream open-source projects like ROCm/hip, where his backend work extended CUDA-compatible math functions, improved build flexibility via CMake changes, and fixed a critical debug-symbol bug—demonstrating attention to both API compatibility and build robustness. Based in the United States, he blends systems-level C++ expertise with practical tooling improvements that make complex libraries easier to build and use. Colleagues can expect a developer who tackles subtle correctness and portability issues while keeping developer experience in mind.
11 years of coding experience
Github Skills (9)
cuda10
hip10
c-language10
cprogramming-language10
portability9
kernel9
cmake9
portable9
hiphop9
Programming languages (10)
Github contributions (5)
ROCm/hip
May 2018 - Jul 2018
HIP: C++ Heterogeneous-Compute Interface for Portability
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 10 PRs, 38 comments in 1 month
Contributions summary:Jörg's commits primarily focused on extending the `hip` library's functionality and compatibility. They added overloads for the `abs` function across various data types to align with CUDA's math functions and updated related header files. Additionally, they introduced the `labs` function and modified the build system (CMake) to support include directories and compile definitions, thereby improving the library's build process and flexibility. They fixed a critical bug causing DEBUG symbols to be dropped.
cudaheterogeneousgpuportabilityhip-runtime
wsttiger/pytorch
Jan 2018 - Jun 2018
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:918 commits, 274 pushes, 12 branches in 4 months
pythongpu-accelerationdeep-learninggpuacceleration
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