Andrew Kerr
Principal Compute Architect at NVIDIA
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Kerr is a Principal Software Architect at NVIDIA based in California with 16 years of experience building high-performance GPU software. He blends strategic architecture with hands-on performance engineering, having seeded and shaped the foundational build system and CUDA targets for NVIDIA's CUTLASS linear algebra library. His work spans kernel integration and tuning, enabling clang compilation, and tightening build configurations to deliver measurable throughput improvements. Comfortable moving between low-level CUDA optimization and scalable library design, he focuses on turning architectural vision into production-grade performance.
16 years of coding experience
8 years of employment as a software developer
Georgia Institute of Technology
Github Skills (7)
cuda10
c-language10
gpu10
performance-optimization10
c-programming-language10
cpp9
deep-learning9
Programming languages (1)
Github contributions (5)
NVIDIA/cutlass
Nov 2017 - Sep 2022
CUDA Templates for Linear Algebra Subroutines
Role in this project:
Back-end Developer / Performance Engineer
Back-end Developer / Performance EngineerContributions:20 releases, 37 reviews, 70 commits in 4 years 10 months
Contributions summary:Andrew's initial commit established the foundation for the project by defining the build environment and CUDA architecture targets. Subsequent commits reflect the user's focus on performance optimization, specifically targeting the CUDA architecture. The user was responsible for integrating and testing different kernels and their performance. Their work included enhancing build configurations to enable compilation with clang, adding various features, and fixing bugs, contributing to the library's overall functionality and performance.
cudacpplinear-algebranvidiamatrix-multiplication
kerrmudgeon/corsairs
Jan 2015 - Jun 2017
Contributions:1 release, 57 pushes, 2 tags in 2 years 5 months
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