Joseph McDonald

27 papers A* 1Journal 15Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Orthogonality Relations and Operators on Bounded Quasi-Implication Algebras.
Order
Joseph McDonald
2024 J jnl
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data.
CoRR
Mark S. Veillette, James M. Kurdzo, Phillip M. Stepanian, John Y. N. Cho, Siddharth Samsi, Joseph McDonald
2024 J jnl
Direct and ordinal products realized by triangular norm operators with no zero divisors.
Fuzzy Sets Syst.
Joseph McDonald
2024 J jnl
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale.
CoRR
Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally
2023 J jnl
A Green(er) World for A.I.
CoRR
Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi
2023 — conf
An Analysis of Energy Requirement for Computer Vision Algorithms.
HPEC
Daniel Edelman, Siddharth Samsi, Joseph McDonald, Adam Michaleas, Vijay Gadepally
2023 — conf
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.
HPEC
Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally
2023 J jnl
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.
CoRR
Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally
2023 — conf
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale.
SoCC
Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally
2023 J jnl
Topological duality for orthomodular lattices.
Math. Log. Q.
Joseph McDonald, Katalin Bimbó
2022 — conf
A Green(er) World for A.I.
IPDPS Workshops
Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi
2022 A* conf
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications.
HPCA
Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John T. 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
2022 — conf
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning.
HPEC
Matthew L. Weiss, Joseph McDonald, David Bestor, Charles Yee, Daniel Edelman, Michael Jones, Andrew Prout, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally, Siddharth Samsi
2022 J jnl
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning.
CoRR
Matthew L. Weiss, Joseph McDonald, David Bestor, Charles Yee, Daniel Edelman, Michael Jones, Andrew Prout, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally, Siddharth Samsi
2022 — conf
Benchmarking Resource Usage for Efficient Distributed Deep Learning.
HPEC
Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 J jnl
Benchmarking Resource Usage for Efficient Distributed Deep Learning.
CoRR
Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 — conf
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models.
NAACL-HLT (Findings)
Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 J jnl
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models.
CoRR
Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 — conf
Performance Estimation for Efficient Image Segmentation Training of Weather Radar Algorithms.
HPEC
Joseph McDonald, James M. Kurdzo, Phillip M. Stepanian, Mark Veillette, David Bestor, Michael Jones, Vijay Gadepally, Siddharth Samsi
2022 — conf
The MIT Supercloud Workload Classification Challenge.
IPDPS Workshops
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
2022 J jnl
The MIT Supercloud Workload Classification Challenge.
CoRR
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
2021 — conf
Improved Compression for Word Embeddings by Scaling Principal Components.
HPEC
Joseph McDonald, Siddharth Samsi, Daniel Edelman, Chansup Byun, Jeremy Kepner, Vijay Gadepally
2021 J jnl
Scalable Geometric Deep Learning on Molecular Graphs.
CoRR
Nathan C. Frey, Siddharth Samsi, Joseph McDonald, Lin Li, Connor W. Coley, Vijay Gadepally
2021 — conf
The MIT Supercloud Dataset.
HPEC
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
2021 J jnl
The MIT Supercloud Dataset.
CoRR
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
2020 J jnl
A Sampling Theorem for Deconvolution in Two Dimensions.
CoRR
Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda
2020 J jnl
A Sampling Theorem for Deconvolution in Two Dimensions.
SIAM J. Imaging Sci.
Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda