Xingqiu Yuan
RD Staff In HPC Application And Performance
New Jersey, United States
Summary
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Senior🎓
Top SchoolXingqiu Yuan is an RD Staff in HPC Application and Performance at Argonne National Laboratory with nearly a decade of focused experience in high-performance scientific computing and over 10 years working in the HPC domain. He has designed and implemented massively parallel deep-learning software (MpNet) featuring a novel multilevel parallelization approach that removes traditional operator-dependency bottlenecks, and authored a 3D AMR MHD code that scales to ~100k CPU cores. His career spans leading computational science roles at Princeton Plasma Physics Lab and international research posts, blending deep plasma-physics expertise with production-scale parallel application development. Based in New Jersey, he brings a rare combination of domain science, performance engineering, and large-scale code design that accelerates both simulation fidelity and throughput. An active GitHub presence (github.com/xyuan) complements his lab work, signaling ongoing hands-on development and reproducible research practices.
9 years of coding experience
12 years of employment as a software developer
Plasma Physics, Plasma Physics at Southwestern Institute of Physics, ChinaComputational Plasma Physics, Computational Plasma Physics at Fudan University
Github Skills (55)
atmospheric-modelling10
planetary10
python10
fortran10
machine-learning10
energy10
numpy10
forecasting10
snl-applications10
deep-learning10
exascale10
gpu10
autograd10
neural-network10
earth-science10
Programming languages (6)
Github contributions (5)
xyuan/ERF
Jun 2021 - Mar 2024
Energy Research and Forecasting Model
Contributions:196 pushes, 76 branches in 2 years 9 months
forecastingforecasting-modelpythonenergy
xyuan/ndsl-fms
Mar 2024 - Jul 2024
NOAA NASA Domain Specific Language middleware layer
Contributions:69 pushes, 8 branches in 4 months
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