Andrew Stone
Compiler Engineer at Hewlett Packard Enterprise
Portland, Oregon Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Stone is a compiler engineer with 11 years of experience building high-performance language tooling and runtime systems, currently advancing vendor-neutral GPU support for the Chapel parallel programming language at Hewlett Packard Enterprise. He has deep expertise in compiler internals, LLVM backends, and runtime libraries, and previously led type inference and code-generation work for MATLAB Coder at MathWorks. His background includes scalable parallel systems research and teaching compiler construction, culminating in a PhD in computer science from Colorado State University. An active open-source contributor, he implemented GPU primitives and runtime functions in the widely used chapel-lang repository, improving both performance and cross-compiler build robustness. Known for bridging research and production, he combines rigorous static analysis instincts with practical systems engineering to make parallel programming more productive.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Colorado State University
Github Skills (6)
cuda10
gpu-programming10
chapel10
parallel-computing9
performance-optimization9
compiler-design8
Programming languages (3)
Github contributions (5)
chapel-lang/chapel
May 2021 - Jan 2023
a Productive Parallel Programming Language
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:633 reviews, 382 commits, 547 PRs in 1 year 8 months
Contributions summary:Andrew primarily focused on improving the performance and functionality of the Chapel language, a productive parallel programming language. Their contributions include updating documentation, specifically addressing the location of compiler overview directories, and enhancing error messages for specific runtime calls. They also added GPU runtime library functions, including those for initialization and kernel launches, and implemented primitives for GPU thread, block, and grid operations. The user also fixed build errors and made code modifications to allow the code to compile with different compilers.
parallellanguage-designproductivecompilerparallel-programming
stonea/C-Type-Deduction-Explorer
Mar 2015 - Feb 2021
Contributions:25 commits, 23 pushes, 1 branch in 6 years
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