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Jan Naumann

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Jan Naumann

In November 2024, Jan Naumann developed a new CPU-targeted SVD algorithm option for the ROCm/jax repository, expanding JAX’s svd functionality beyond the existing divide-and-conquer approach. He implemented a QR-based SVD path by creating a C++ wrapper that interfaces with LAPACK’s gesvd routine via Foreign Function Interface, enabling users to select between SVD algorithms on CPU backends. This work required expertise in C++, Python, and numerical linear algebra, and involved extending the svd API to support the new method. The feature deepened JAX’s numerical capabilities and offered users improved flexibility and potential performance trade-offs for CPU-based computations.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
269
Activity Months1

Work History

November 2024

1 Commits • 1 Features

Nov 1, 2024

November 2024 monthly summary focused on core deliverables for ROCm/jax. Delivered a new CPU SVD QR algorithm option for JAX, expanding the svd path beyond the existing divide-and-conquer method. Implemented a wrapper to interface with LAPACK's gesvd via FFI, enabling CPU-targeted QR-based SVD computations and giving users an alternative algorithm choice. Prepared the codepath for improved numerical properties and potential performance trade-offs on CPU backends, with clear API support to select the QR method.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++Python

Technical Skills

C++FFI (Foreign Function Interface)Linear AlgebraNumerical MethodsPython

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

ROCm/jax

Nov 2024 Nov 2024
1 Month active

Languages Used

C++Python

Technical Skills

C++FFI (Foreign Function Interface)Linear AlgebraNumerical MethodsPython