James Richings
HPC Architect at EPCC
City of Edinburgh, Scotland, United Kingdom
Summary
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Top SchoolJames Richings is an HPC Architect with eight years’ experience applying particle physics and numerical methods to deliver high-performance computing solutions for the UK research community. With a PhD in theoretical physics and a track record deploying and commissioning GPU-accelerated supercomputers (including Nvidia A100-based systems) he bridges deep domain science and production HPC operations. He has supported national services such as ARCHER2 and DiRAC, delivered training and engagement across the EuroCC competency network, and worked closely with lattice QCD collaborations to turn complex simulations into reproducible results. Based in Edinburgh, he combines hands-on systems commissioning and application support with a researcher's attention to numerical precision and subtle correction terms that matter at the percent level.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical Physics, Doctor of Philosophy - PhD, Theoretical Physics at University of SouthamptonMasters in Natural science, Physics and Mathematics, 1st Class Honours, Masters in Natural science, Physics and Mathematics, 1st Class Honours at Durham University
Github Skills (26)
lattice9
reduction9
mathematical9
simulations9
avx9
grid9
workflow-management8
theory8
parallel-computing8
cluster-computing8
vectorization8
parallel8
simulation8
computational-science7
cpp7
Programming languages (2)
Github contributions (5)
EPCCed/Intro-to-HPC
Dec 2022 - Feb 2025
Source for EPCC's course: Hands-On Introduction to High Performance Computing
Contributions:1 review, 1 PR, 9 pushes in 2 years 2 months
computinghpcmpiopenmpparallel
JPRichings/Grid
Jun 2018 - May 2022
Data parallel C++ mathematical object library
Contributions:127 commits, 2 PRs, 124 pushes in 3 years 11 months
cppparallelc-plus-plusparallel-datamathematical
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