Improved Compression for Word Embeddings by Scaling Principal Components. - Joseph McDonald; Siddharth Samsi; Daniel Edelman; Chansup Byun; Jeremy Kepner; Vijay Gadepally (HPEC, 2021)

The MIT Supercloud Dataset. - Siddharth Samsi; Matthew L. Weiss; David Bestor; Baolin Li; Michael Jones 001; Albert Reuther; Daniel Edelman; William Arcand; Chansup Byun; John Holodnack; Matthew Hubbell; Jeremy Kepner; et al. (HPEC, 2021)

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 001; Matthew Hubbell; et al. (HPCA, 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 001; Andrew Prout; Andrew Bowne; Lindsey McEvoy; Vijay Gadepally; Siddharth Samsi (HPEC, 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 001; et al. (IPDPS Workshops, 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 001; et al. (CoRR, 2022)

An Analysis of Energy Requirement for Computer Vision Algorithms. - Daniel Edelman; Siddharth Samsi; Joseph McDonald; Adam Michaleas; Vijay Gadepally (HPEC, 2023)