Abhishek Yenpure
Senior Systems Software Engineer at NVIDIA
Eugene, Oregon, United States
Summary
👤
Senior🎓
Top SchoolAbhishek Yenpure is a Senior Systems Software Engineer and HPC/GPU specialist with a Ph.D. in Computer Science and nine years of experience optimizing CUDA kernels, distributed MPI systems, and large-scale scientific visualization. He has scaled visualization and analytics pipelines to over 8,000 GPUs on DOE supercomputers and delivered performance-portable algorithms across CUDA, HIP, and SYCL backends via Kokkos. At Kitware he combined C++ template metaprogramming with low-level profiling (nvprof, VTune, PAPI) to squeeze memory efficiency and throughput from VTK-m and ParaView, and now contributes to GPU communications at NVIDIA (NCCL/NVSHMEM) for large-scale distributed GPU computing. His work spans end-to-end HPC stacks—from kernel tuning and hybrid CPU–GPU execution to in situ analytics and domain-specific Python/xarray tooling for climate, fusion, and geospatial science. He is an active open-source contributor who pairs deep research experience with production engineering, and his background in building Exascale-ready pipelines is often the hidden accelerator behind collaborative scientific breakthroughs.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Scientific Visualization and High Performance Computing, Doctor of Philosophy - PhD Scientific Visualization and High Performance Computing at University of OregonBachelor of Engineering (B.E.) Information Technology, Bachelor of Engineering (B.E.) Information Technology at Savitribai Phule Pune University
Marathi, Hindi, English
Stackoverflow
448reputation
33kreached
5answers
15questions
Github Skills (46)
trame10
python10
rendering10
windows10
linux10
mpi10
hpc10
parallel-computing10
macos10
vtk10
scientific-computing10
atmosphere9
visualization9
conda9
data-viz9
Programming languages (5)
Github contributions (5)
ayenpure/Projects
Oct 2016 - Aug 2017
Contributions:154 pushes, 3 branches in 10 months
ayenpure/QuickView
Jun 2025 - Jan 2026
A ParaView based, easy-to-use application for exploration of atmospheric data from E3SM.
Contributions:2 releases, 2 reviews, 46 PRs in 7 months
paraviewatmospheree3smscientific-visualizationtrame
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