Kevin Gott - NERSC User Engagement Group, Performance Engineer And User Engagement Lead at National Energy Research Scientific Computing Center (NERSC)

Kevin Gott

NERSC User Engagement Group, Performance Engineer And User Engagement Lead at National Energy Research Scientific Computing Center (NERSC)

Berkeley, California, United States

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Summary

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Senior

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Top School

Kevin Gott is a computational scientist and performance engineer with 8 years of experience helping scientific applications scale on the world’s leading supercomputers as a user-engagement and performance lead at NERSC. He combines deep hands-on expertise in MPI, GPU porting, AMReX-based AMR frameworks and profiling (including CUDA graph integration) with community-building skills—leading engagement strategy, mentoring interns and creating the facility’s first enforceable code of conduct. A Gordon Bell Prize and LBNL Director’s Award winner, he has driven async I/O, fused-kernel and stream-triggered communication optimizations that materially improved application throughput. Based in Berkeley, he bridges research and operations, translating low-level performance analysis into adoptable tooling and outreach that advances both software and user communities.

8 years of coding experience

2 years of employment as a software developer

Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Penn State University

Github Skills (10)

kernel10

cuda10

mpi10

c-language10

gpgpu10

cprogramming-language10

gpu10

performance-optimization10

profiler10

profiling10

Programming languages (4)

C++ShellHTMLFortran

Github contributions (5)

AMReX-Codes/amrex

Jul 2017 - Dec 2022

AMReX: Software Framework for Block Structured AMR

Role in this project:

Back-end Developer

Contributions:168 reviews, 792 commits, 67 PRs in 5 years 5 months

Contributions summary:Kevin's commits primarily focus on modifying and integrating profiling tools within the AMReX software framework. The user appears to be expanding the functionality and completeness of the profiling tools, particularly related to MPI communication, data collection, and the visualization of performance data through added support for various profiling frameworks and features. The user implemented changes to integrate CUDA graph features and associated improvements to improve performance, indicating a focus on optimizing the software's performance for GPU usage.

amrmpistructuredsnl-applicationsmultiphysics

kngott/WarpX

Sep 2019 - Jul 2023

WarpX is an advanced electromagnetic Particle-In-Cell code.

Contributions:19 pushes, 4 branches in 3 years 11 months

electromagneticparticleparticle-in-cell

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