Joseph McDonald

According to our database, Joseph McDonald authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Direct and ordinal products realized by triangular norm operators with no zero divisors.

Joseph McDonald

Fuzzy Sets Syst., 2024

A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data.

Mark S. Veillette, James M. Kurdzo, Phillip M. Stepanian, John Y. N. Cho, Siddharth Samsi, Joseph McDonald

CoRR, 2024

2023

Topological duality for orthomodular lattices.

Joseph McDonald, Katalin Bimbó

Math. Log. Q., May, 2023

From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.

Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

An Analysis of Energy Requirement for Computer Vision Algorithms.

Daniel Edelman, Siddharth Samsi, Joseph McDonald, Adam Michaleas, Vijay Gadepally

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale.

Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2022

The MIT Supercloud Workload Classification Challenge.

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

CoRR, 2022

Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models.

Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Green(er) World for A.I.

Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

The MIT Supercloud Workload Classification Challenge.

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

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning.

Matthew L. Weiss, Joseph McDonald, David Bestor, Charles Yee, Daniel Edelman, Michael Jones, Andrew Prout, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally, Siddharth Samsi

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Performance Estimation for Efficient Image Segmentation Training of Weather Radar Algorithms.

Joseph McDonald, James M. Kurdzo, Phillip M. Stepanian, Mark Veillette, David Bestor, Michael Jones, Vijay Gadepally, Siddharth Samsi

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Benchmarking Resource Usage for Efficient Distributed Deep Learning.

Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications.

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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

Scalable Geometric Deep Learning on Molecular Graphs.

Nathan C. Frey, Siddharth Samsi, Joseph McDonald, Lin Li, Connor W. Coley, Vijay Gadepally

CoRR, 2021

The MIT Supercloud Dataset.

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

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Improved Compression for Word Embeddings by Scaling Principal Components.

Joseph McDonald, Siddharth Samsi, Daniel Edelman, Chansup Byun, Jeremy Kepner, Vijay Gadepally

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020

A Sampling Theorem for Deconvolution in Two Dimensions.

Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda

SIAM J. Imaging Sci., 2020