Alan Dayton
Research Assistant at Brigham Young University
Provo, Utah, United States
Summary
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Rockstar🎓
Top SchoolAlan Dayton is a research-focused software engineer finishing an MS in Computer Science with 12 years of hands-on experience in scientific computing, high-performance computing, and parallel processing. He has interned twice at Lawrence Livermore National Laboratory and worked on high energy density physics software, complementing academic research at Brigham Young University where he is a current research assistant. His background includes test and tooling work at Microsoft and National Instruments, giving him strong engineering discipline across performance-critical and production systems. Based in Provo, Utah, Alan blends practical HPC expertise with programming language and tooling interests, and has a track record of turning complex simulation and data-analysis needs into reliable software.
12 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, 3.01, Master of Science - MS, Computer Science, 3.01 at Brigham Young University
Github Skills (141)
python10
computational-science10
testing10
windows10
multiple-versions10
abstraction10
portable-executable10
mechanics10
parallel-computing10
gpu10
co-simulation10
cpp10
migrate10
scientific-computing10
modelica10
Programming languages (7)
Github contributions (5)
adayton1/picture_book_illustrator
Mar 2018 - Nov 2022
Contributions:1 PR, 38 pushes, 1 branch in 4 years 9 months
reactjavascriptpicturereactjsnextjs
LLNL/CARE
May 2020 - Jan 2023
CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.
Contributions:37 releases, 345 reviews, 596 commits in 2 years 8 months
numerical-algorithmsportable-appsgpu-accelerationloopcare
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