cv
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Basics
Name | Benjamin Cobb |
Label | PhD Student in Computer Science |
bcobb33@gatech.edu | |
Url | https://www.ben-cobb.com |
Summary | PhD student in Computer Science at Georgia Institute of Technology with research in numerical linear algebra and high-performance computing. |
Work
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2024.06 - 2025.05 Discrete Algorithms Intern
Oak Ridge National Laboratory
Worked on discrete algorithms during internships at ORNL.
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2020.06 - 2020.08 Computer Science Research Intern
Sandia National Laboratories
Internship during the pandemic, conducted virtually.
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2019.01 - Present Graduate Research Assistant
Georgia Institute of Technology
Researching numerical linear algebra, tensor decompositions, and high-performance computing.
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2016.01 - 2019.01
Education
Publications
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2024.01.01 On Rank Selection for Nonnegative Matrix Factorization
IEEE Big Data
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2024.01.01 -
2023.06.01 Distributed-Memory Parallel JointNMF
International Conference on Supercomputing, ICS 2023
Skills
High-Performance Computing | |
MPI | |
CUDA | |
Kokkos | |
OpenMP | |
cache aware programming |
Programming | |
C/C++ | |
MatLab | |
Python |
Machine Learning | |
Deep Learning | |
Neural Nets | |
PyTorch | |
Matrix and Tensor Factorizations |
Software Development | |
Git | |
CMake | |
Unit Tests | |
Vim | |
Slurm | |
Tmux | |
Linux Command Line | |
Scripting |
Performance Analysis and Debugging | |
Roofline Bandwidth Analysis | |
VTune | |
GDB |
Projects
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- Present
PLANC
Distributed MPI software package for large-scale matrix and tensor factorizations used in data analysis and compression.
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- Present
GenTen Portable Tensor Decompositions
Performance portable software package for tensor factorizations used in data compression.
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- Present
MATLAB Tensor Toolbox
Implemented minimum cost bipartite matching algorithm for least-squares cosine differences.