Lingda Li
Associate Computational Scientist
New York City Metropolitan Area United States
Summary
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Senior🎓
Top SchoolLingda Li is an Associate Computational Scientist with a decade of experience advancing high-performance computing through computer architecture, parallel programming, and modeling/simulation. Based at Brookhaven National Laboratory, Lingda has progressed from compiler-focused work optimizing OpenMP memory performance in LLVM to leading HPC modeling and GPU/CPU memory research. His background blends Ph.D.-level architecture research from Peking University with hands-on engineering dating back to CPU architecture work and GPU memory studies at Rutgers. Known for translating deep research into practical performance improvements, he often focuses on memory-system bottlenecks that are easy to overlook but critical at scale.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Architecture, 3.7/4.0, Doctor of Philosophy (Ph.D.), Computer Architecture, 3.7/4.0 at Peking UniversityBachelor of Science (B.S.), Computer Science, 90/100, Bachelor of Science (B.S.), Computer Science, 90/100 at Harbin Institute of Technology
Github Skills (40)
self-organizing-map10
pde9
fourier-transform9
neural-operator9
uno9
partial-differential-equations9
transform9
tensorly9
differential-equations8
pytorch8
hpc-applications6
simulation6
graphical-user-interface5
python4
refinement3
Programming languages (5)
Github contributions (5)
PerfVec/PerfVec
Feb 2024 - Jan 2025
Contributions:3 releases, 71 pushes, 1 branch in 11 months
lingda-li/simnet
May 2020 - Apr 2022
Contributions:229 commits, 6 pushes, 1 comment in 2 years
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