Joseph McDonald

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Sampling Theorem

Top Venues

IPDPS Workshops

NAACL-HLT (Findings)

Publications

Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. CoRR (2024)
Mark S. Veillette, James M. Kurdzo, Phillip M. Stepanian, John Y. N. Cho, Siddharth Samsi, Joseph McDonald
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data. CoRR (2024)
Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi
A Green(er) World for A.I. CoRR (2023)
Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. CoRR (2023)
Daniel Edelman, Siddharth Samsi, Joseph McDonald, Adam Michaleas, Vijay Gadepally
An Analysis of Energy Requirement for Computer Vision Algorithms. HPEC (2023)
Joseph McDonald, Katalin Bimbó
Topological duality for orthomodular lattices. Math. Log. Q. 69 (2) (2023)
Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. SoCC (2023)
Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. HPEC (2023)
Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. NAACL-HLT (Findings) (2022)
Matthew L. Weiss, Joseph McDonald, David Bestor, Charles Yee, Daniel Edelman, Michael Jones, Andrew Prout, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally, Siddharth Samsi
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning. HPEC (2022)
Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
Benchmarking Resource Usage for Efficient Distributed Deep Learning. CoRR (2022)
Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi
A Green(er) World for A.I. IPDPS Workshops (2022)
Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, Chansup Byun, Daniel Edelman, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
The MIT Supercloud Workload Classification Challenge. CoRR (2022)
Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
Benchmarking Resource Usage for Efficient Distributed Deep Learning. HPEC (2022)
Joseph McDonald, James M. Kurdzo, Phillip M. Stepanian, Mark Veillette, David Bestor, Michael Jones, Vijay Gadepally, Siddharth Samsi
Performance Estimation for Efficient Image Segmentation Training of Weather Radar Algorithms. HPEC (2022)
Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. CoRR (2022)
Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew L. Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications. HPCA (2022)
Matthew L. Weiss, Joseph McDonald, David Bestor, Charles Yee, Daniel Edelman, Michael Jones, Andrew Prout, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally, Siddharth Samsi
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning. CoRR (2022)
Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, William Bergeron, Chansup Byun, Daniel Edelman, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
The MIT Supercloud Workload Classification Challenge. IPDPS Workshops (2022)
Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally
The MIT Supercloud Dataset. CoRR (2021)
Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally
The MIT Supercloud Dataset. HPEC (2021)
Joseph McDonald, Siddharth Samsi, Daniel Edelman, Chansup Byun, Jeremy Kepner, Vijay Gadepally
Improved Compression for Word Embeddings by Scaling Principal Components. HPEC (2021)
Nathan C. Frey, Siddharth Samsi, Joseph McDonald, Lin Li, Connor W. Coley, Vijay Gadepally
Scalable Geometric Deep Learning on Molecular Graphs. CoRR (2021)
Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda
A Sampling Theorem for Deconvolution in Two Dimensions. SIAM J. Imaging Sci. 13 (4) (2020)
Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda
A Sampling Theorem for Deconvolution in Two Dimensions. CoRR (2020)