Brad Settlemyer
Principal Architect at NVIDIA
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolBrad Settlemyer is a Principal Architect and storage/I/O research leader with 16 years of experience driving high-performance computing innovations at national labs and now at NVIDIA. He specializes in marrying computational storage, in-network compute, and systems software to accelerate scientific workflows, and his teams' work has earned R&D 100 recognition and publications at top HPC and storage conferences. At NVIDIA he designed DPU-accelerated collective communication algorithms (Alltoallv and Allgatherv) that measurably improve MPI performance for data-intensive applications. Grounded in a Ph.D. from Clemson and a long tenure at LANL and ORNL, he blends deep research rigor with production-focused engineering to move novel I/O concepts into deployable platforms. Notably, he brings rare hands-on expertise in translating cutting-edge DPU and storage research into practical algorithms used in platform proposals and product development.
16 years of coding experience
16 years of employment as a software developer
Ph.D., Ph.D. at Clemson UniversityB.S., B.S. at University of North Carolina at Chapel Hill
Github Skills (20)
infiniband10
pytorch9
mpi9
cuda9
python8
deep-learning8
load-balancing8
hpc8
machine-learning7
filesystem6
rundeck4
hierarchical-data3
multi-tenant2
exascale2
ucx1
Programming languages (4)
Github contributions (5)
bws/shm_utils
Dec 2022 - Feb 2023
Contributions:15 commits, 14 pushes, 1 branch in 2 months
bws/taproot
Feb 2023 - Nov 2023
Contributions:10 pushes, 1 branch in 9 months
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