Tyler Allen
Senior Developer Technology Engineer at NVIDIA
Charlotte, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolTyler Allen is a Senior Developer Technology Engineer with 12 years of experience specializing in high-performance computing, GPU optimization, and memory performance and management. Now at NVIDIA after a faculty stint, he bridges deep academic research—culminating in a PhD from Clemson—with hands-on developer tooling for accelerated systems and emerging accelerated databases. His background includes research on virtual memory performance for NVIDIA UVM, profiling top-tier supercomputers, and administrating research clusters, giving him a practical edge in tuning real-world heterogeneous systems. Based in Charlotte, NC, he combines teaching and mentoring experience with production-focused DevTech work, translating complex hardware/software interactions into usable software optimizations. Colleagues rely on him for hard-to-measure performance problems and pragmatic approaches to resource-constrained computing.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Clemson UniversityBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Western Carolina University
Github Skills (15)
virtual-memory10
uvm9
gpgpu9
hpc8
discord-bot8
gpu7
precompiled-binaries7
accelerated-computing7
discord-py7
dotnet6
performance-monitoring6
csharp6
python5
code-generation3
code-generator3
Programming languages (3)
Github contributions (5)
tallendev/DNS-Resolver
Nov 2013 - Jul 2014
Contributions:3 commits in 8 months
tallendev/uvm-eval
Apr 2021 - Aug 2022
This serves as a repository for reproducibility of the SC21 paper "In-Depth Analyses of Unified Virtual Memory System for GPU Accelerated Computing," as well as several components of the IPDPS21 paper "Demystifying GPU UVM Cost with Deep Runtime and Workload Analysis."
Contributions:3 releases, 50 commits, 58 pushes in 1 year 4 months
accelerated-computinggpuuvmvirtual-memorygpu-computing
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