Anil Gaihre
High-Performance Computing Engineer At Parabricks at NVIDIA
California, United States
Summary
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Top SchoolAnil Gaihre is a High-Performance Computing Engineer at Parabricks (NVIDIA) with eight years of experience designing and accelerating parallel algorithms for GPUs, particularly in graph computing, scalable linear solvers, and big data analytics. He earned a PhD in Computer Engineering and published GPU-first solutions for symbolic factorization and top-k computations that scaled across nodes (SC '21, TPDS '21). His work spans both academic collaborations (Berkeley Lab, Stevens Institute) and industry-facing HPC projects, including CFD and rendering systems for commercial partners. Known for tackling nondeterminism in GPU graph traversals and accelerating multiple phases of sparse direct solvers, he blends deep research rigor with production performance engineering. Based in California, he brings a rare combination of doctorate-level algorithmic innovation and hands-on system delivery.
7 years of coding experience
10 years of employment as a software developer
SLC, SLC at New Horizon English Boarding SchoolDoctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Stevens Institute of TechnologyIntermediate Science, Intermediate Science at SOS Hermann Gmeiner HSS, Sanothimi, BhaktapurUMass LowellBE Electronics and Communication Engineering, BE Electronics and Communication Engineering at Institute of Engineering (IOE Pulchowk Campus), Tribhuvan University
English, Nepali, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
parser4
cluster-computing4
parallel4
openmp4
litecoin4
cuda4
bitcoin3
mpi3
blockchain3
rust2
clustering1
rust-language1
Programming languages (3)
Github contributions (5)
Anil-Gaihre/DrTopKSC
Apr 2021 - Sep 2021
Contributions:56 commits, 46 pushes, 1 branch in 5 months
Anil-Gaihre/gSoFa
Apr 2020 - Jun 2021
Contributions:26 commits, 8 pushes, 1 issue in 1 year 1 month
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