Devin Matthews is an Associate Professor and computational scientist in Dallas with 13 years of research and teaching experience bridging chemistry and high-performance computing. Trained as a chemist with a PhD from UT Austin, he transitioned into software-intensive performance engineering, contributing low-level assembly and vectorization optimizations to the BLIS linear-algebra framework—work that improved kernels for Intel KNL and refined threading models. At Southern Methodist University he combines academic leadership with hands-on systems work, mentoring students while publishing and developing efficient numerical software. His background uniquely blends domain science, postdoctoral research at UT Austin, and practical open-source contributions to performance-critical libraries.
13 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at The University of Texas at Austin
Contributions:1 release, 53 reviews, 319 commits in 7 years
Contributions summary:Devin primarily worked on optimizing and improving the BLIS library's microkernels. Their contributions focused on the implementation of assembly language optimizations, especially for Intel KNL architectures. They added support for vectorized operations, and adjusted existing kernels, improving performance by fixing performance bugs and incorporating a more efficient threading model. They also refactored certain macrokernels to improve efficiency.
Contributions:1 PR, 154 pushes, 4 branches in 9 years 10 months
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