Steven Dalton
Senior Research Scientist at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolSteven Dalton is a Senior Research Scientist at NVIDIA with 15 years of experience applying high-performance computing and GPU research to real-world problems. With dual BS degrees in Physics and Computer Science from Georgia Tech and a PhD in Computer Science from UIUC, he brings a strong theoretical foundation paired with deep practical expertise in multi-GPU programming and parallel algorithms. His long tenure at NVIDIA follows a sequence of targeted research internships—including at Argonne and Lawrence Livermore—that informed a focus on scalable computational frameworks and libraries (early work included building a Thrust-based multi-GPU framework for CUSP). Based in California, he combines laboratory-scale research rigor with production-oriented engineering, bridging academic insight and industrial impact.
15 years of coding experience
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Georgia Institute of TechnologyUniversity of Illinois Urbana-Champaign
English
Github Skills (27)
sparse10
thrust10
matrix10
matrix-multiplication10
legion10
sparse-matrix10
blas10
nvidia10
cpp10
cuda9
solver8
gpu8
parallel8
algorithms8
system-programming8
Programming languages (2)
Github contributions (5)
sdalton1/agency
Feb 2015 - Oct 2018
Contributions:44 pushes, 5 branches in 3 years 8 months
cppc-plus-plusheader-onlyparallelismcpp17
sdalton1/cusplibrary
Oct 2014 - Sep 2016
Contributions:73 commits, 379 pushes, 44 branches in 1 year 11 months
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