Survey of Parallel MATLAB Techniques and Applications to Signal and Image Processing. - Ashok K. Krishnamurthy 001; John Nehrbass; Juan Carlos Chaves; Siddharth Samsi (ICASSP (4), 2007)

Experiences from Cyberinfrastructure Development for Multi-user Remote Instrumentation. - Prasad Calyam; Abdul Kalash; Neil Ludban; Sowmya Gopalan; Siddharth Samsi; Karen A. Tomko; David E. Hudak; Ashok K. Krishnamurthy 001 (eScience, 2008)

A Computational Science IDE for HPC Systems: Design and Applications. - David E. Hudak; Neil Ludban; Ashok K. Krishnamurthy 001; Vijay Gadepally; Siddharth Samsi; John Nehrbass (Int. J. Parallel Program., 2009)

MATLAB for Signal Processing on Multiprocessors and Multicores. - Siddharth Samsi; Vijay Gadepally; Ashok K. Krishnamurthy 001 (IEEE Signal Process. Mag., 2010)

Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed. - Siddharth Samsi; Gerard Lozanski; Arwa Shanaah; Ashok K. Krishnamurthy 001; Metin N. Gurcan (IEEE Trans. Biomed. Eng., 2010)

Automatic detection of follicular regions in H&E images using iterative shape index. - Kamel Belkacem-Boussaid; Siddharth Samsi; Gerard Lozanski; Metin N. Gurcan (Comput. Medical Imaging Graph., 2011)

An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry. - Siddharth Samsi; Ashok K. Krishnamurthy 001; Metin N. Gurcan (J. Comput. Sci., 2012)

Automated nuclei clump splitting by combining local concavity orientation and graph partitioning. - Siddharth Samsi; Christophe Trefois; Paul M. A. Antony; Alexander Skupin (BHI, 2014)

Parallel MATLAB Techniques. - Ashok K. Krishnamurthy 001; Siddharth Samsi; Vijay Gadepally (CoRR, 2014)

Scalability of VM provisioning systems. - Mike Jones 001; Bill Arcand; Bill Bergeron; David Bestor; Chansup Byun; Lauren Milechin; Vijay Gadepally; Matthew Hubbell; Jeremy Kepner; Peter Michaleas; Julie Mullen; Andy Prout; et al. (HPEC, 2016)

Associative array model of SQL, NoSQL, and NewSQL databases. - Jeremy Kepner; Vijay Gadepally; Dylan Hutchison; Hayden Jananthan; Timothy G. Mattson; Siddharth Samsi; Albert Reuther (HPEC, 2016)

Enhancing HPC security with a user-based firewall. - Andrew Prout; William Arcand; David Bestor; Bill Bergeron; Chansup Byun; Vijay Gadepally; Matthew Hubbell; Michael Houle 001; Michael Jones 001; Peter Michaleas; Lauren Milechin; Julie Mullen; et al. (HPEC, 2016)

Benchmarking SciDB data import on HPC systems. - Siddharth Samsi; Laura J. Brattain; William Arcand; David Bestor; Bill Bergeron; Chansup Byun; Vijay Gadepally; Matthew Hubbell; Michael Jones 001; Anna Klein; Peter Michaleas; Lauren Milechin; et al. (HPEC, 2016)

Benchmarking SciDB Data Import on HPC Systems. - Siddharth Samsi; Laura J. Brattain; William Arcand; David Bestor; Bill Bergeron; Chansup Byun; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Michael Jones 001; Anna Klein; Peter Michaleas; et al. (CoRR, 2016)

Benchmarking data analysis and machine learning applications on the Intel KNL many-core processor. - Chansup Byun; Jeremy Kepner; William Arcand; David Bestor; Bill Bergeron; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Michael Jones 001; Anna Klein; Peter Michaleas; Lauren Milechin; et al. (HPEC, 2017)

Performance measurements of supercomputing and cloud storage solutions. - Michael Jones 001; Jeremy Kepner; William Arcand; David Bestor; Bill Bergeron; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Peter Michaleas; Andrew Prout; Albert Reuther; Siddharth Samsi; et al. (HPEC, 2017)

Streaming graph challenge: Stochastic block partition. - Edward K. Kao; Vijay Gadepally; Michael B. Hurley; Michael Jones 001; Jeremy Kepner; Sanjeev Mohindra; Paul Monticciolo; Albert Reuther; Siddharth Samsi; William Song; Diane Staheli; Steven Thomas Smith (HPEC, 2017)

D4M 3.0: Extended database and language capabilities. - Lauren Milechin; Vijay Gadepally; Siddharth Samsi; Jeremy Kepner; Alexander Chen; Dylan Hutchison (HPEC, 2017)

MIT SuperCloud portal workspace: Enabling HPC web application deployment. - Andrew Prout; William Arcand; David Bestor; Bill Bergeron; Chansup Byun; Vijay Gadepally; Matthew Hubbell; Michael Houle 001; Michael Jones 001; Peter Michaleas; Lauren Milechin; Julie Mullen; et al. (HPEC, 2017)

Static graph challenge: Subgraph isomorphism. - Siddharth Samsi; Vijay Gadepally; Michael B. Hurley; Michael Jones 001; Edward K. Kao; Sanjeev Mohindra; Paul Monticciolo; Albert Reuther; Steven Thomas Smith; William Song; Diane Staheli; Jeremy Kepner (HPEC, 2017)

A linear algebra approach to fast DNA mixture analysis using GPUs. - Siddharth Samsi; Brian S. Helfer; Jeremy Kepner; Albert Reuther; Darrell O. Ricke (HPEC, 2017)

Automated dense neuronal fiber tracing and connectivity mapping at cellular level. - Laura J. Brattain; Brian A. Telfer; Siddharth Samsi; Taeyun Ku; Heejin Choi; Kwanghun Chung (ISBI, 2017)

D4M 3.0. - Lauren Milechin; Alexander Chen; Vijay Gadepally; Dylan Hutchison; Siddharth Samsi; Jeremy Kepner (CoRR, 2017)

Static Graph Challenge: Subgraph Isomorphism. - Siddharth Samsi; Vijay Gadepally; Michael B. Hurley; Michael Jones 001; Edward K. Kao; Sanjeev Mohindra; Paul Monticciolo; Albert Reuther; Steven Thomas Smith; William S. Song; Diane Staheli; Jeremy Kepner (CoRR, 2017)

Learning by doing, High Performance Computing education in the MOOC era. - Julia S. Mullen; Chansup Byun; Vijay Gadepally; Siddharth Samsi; Albert Reuther; Jeremy Kepner (J. Parallel Distributed Comput., 2017)

Colorization of H&E stained tissue using Deep Learning. - Siddharth Samsi; Michael Jones 001; Jeremy Kepner; Albert Reuther (EMBC, 2018)

Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer. - Michael Jones 001; Jeremy Kepner; Bradley Orchard; Albert Reuther; William Arcand; David Bestor; Bill Bergeron; Chansup Byun; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Anna Klein; et al. (HPEC, 2018)

Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. - Vijay Gadepally; Jeremy Kepner; Lauren Milechin; William Arcand; David Bestor; Bill Bergeron; Chansup Byun; Matthew Hubbell; Michael Houle 001; Michael Jones 001; Peter Michaleas; Julie Mullen; et al. (HPEC, 2018)

Sparse Deep Neural Network Exact Solutions. - Jeremy Kepner; Vijay Gadepally; Hayden Jananthan; Lauren Milechin; Sid Samsi (HPEC, 2018)

Measuring the Impact of Spectre and Meltdown. - Andrew Prout; William Arcand; David Bestor; Bill Bergeron; Chansup Byun; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Michael Jones 001; Anna Klein; Peter Michaleas; Lauren Milechin; et al. (HPEC, 2018)

Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis. - Albert Reuther; Jeremy Kepner; Chansup Byun; Siddharth Samsi; William Arcand; David Bestor; Bill Bergeron; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Michael Jones 001; Anna Klein; et al. (HPEC, 2018)

GraphChallenge.org: Raising the Bar on Graph Analytic Performance. - Siddharth Samsi; Vijay Gadepally; Michael B. Hurley; Michael Jones 001; Edward K. Kao; Sanjeev Mohindra; Paul Monticciolo; Albert Reuther; Steven Thomas Smith; William Song; Diane Staheli; Jeremy Kepner (HPEC, 2018)

Large-Scale Bayesian Kinship Analysis. - Siddharth Samsi; Bea Yu; Darrell O. Ricke; Philip Fremont-Smith; Jeremy Kepner; Albert Reuther (HPEC, 2018)

Design, Generation, and Validation of Extreme Scale Power-Law Graphs. - Jeremy Kepner; Siddharth Samsi; William Arcand; David Bestor; Bill Bergeron; Tim Davis 001; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Hayden Jananthan; Michael Jones 001; Anna Klein; et al. (IPDPS Workshops, 2018)

Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. - Julia S. Mullen; Albert Reuther; William Arcand; Bill Bergeron; David Bestor; Chansup Byun; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Michael Jones 001; Anna Klein; Peter Michaleas; et al. (ISC Workshops, 2018)

Optimizing Xeon Phi for Interactive Data Analysis. - Chansup Byun; Anne Klein; Lauren Milechin; Peter Michaleas; Julie Mullen; Andrew Prout; Antonio Rosa; Siddharth Samsi; Charles Yee; Albert Reuther; Jeremy Kepner; William Arcand; et al. (HPEC, 2019)

Large Scale Parallelization Using File-Based Communications. - Chansup Byun; Anna Klein; Peter Michaleas; Julie Mullen; Andrew Prout; Antonio Rosa; Siddharth Samsi; Charles Yee; Albert Reuther; Jeremy Kepner; William Arcand; David Bestor; et al. (HPEC, 2019)

Sparse Deep Neural Network Graph Challenge. - Jeremy Kepner; Simon Alford; Vijay Gadepally; Michael Jones 001; Lauren Milechin; Ryan A. Robinett; Sid Samsi (HPEC, 2019)

Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M. - Jeremy Kepner; Michael Houle 001; Michael Jones 001; Anne Klein; Peter Michaleas; Julie Mullen; Andrew Prout; Antonio Rosa; Charles Yee; Albert Reuther; Vijay Gadepally; Lauren Milechin; et al. (HPEC, 2019)

Large Scale Organization and Inference of an Imagery Dataset for Public Safety. - Jeffrey Liu; David Strohschein; Siddharth Samsi; Andrew J. Weinert (HPEC, 2019)

Securing HPC using Federated Authentication. - Andrew Prout; Anna Klein; Peter Michaleas; Lauren Milechin; Julie Mullen; Antonio Rosa; Siddharth Samsi; Charles Yee; Albert Reuther; Jeremy Kepner; William Arcand; David Bestor; et al. (HPEC, 2019)

Survey and Benchmarking of Machine Learning Accelerators. - Albert Reuther; Peter Michaleas; Michael Jones 001; Vijay Gadepally; Siddharth Samsi; Jeremy Kepner (HPEC, 2019)

Distributed Deep Learning for Precipitation Nowcasting. - Siddharth Samsi; Christopher J. Mattioli; Mark S. Veillette (HPEC, 2019)

TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir. - Tao B. Schardl; Siddharth Samsi (HPEC, 2019)

A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases. - Jeremy Kepner; Vijay Gadepally; Lauren Milechin; Siddharth Samsi; William Arcand; David Bestor; William Bergeron; Chansup Byun; Matthew Hubbell; Michael Houle 001; Michael Jones 001; Anne Klein; et al. (CoRR, 2019)

AI Enabling Technologies: A Survey. - Vijay Gadepally; Justin Goodwin; Jeremy Kepner; Albert Reuther; Hayley Reynolds; Siddharth Samsi; Jonathan Su; David Martinez (CoRR, 2019)

Segmentation of Tau Stained Alzheimers Brain Tissue Using Convolutional Neural Networks. - Alexander Wurts; Derek H. Oakley; Bradley T. Hyman; Siddharth Samsi (EMBC, 2020)

Best of Both Worlds: High Performance Interactive and Batch Launching. - Chansup Byun; Jeremy Kepner; William Arcand; David Bestor; Bill Bergeron; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Michael Jones 001; Andrew C. Kirby; Anna Klein; Peter Michaleas; et al. (HPEC, 2020)

Accuracy and Performance Comparison of Video Action Recognition Approaches. - Matthew Hutchinson; Siddharth Samsi; William Arcand; David Bestor; Bill Bergeron; Chansup Byun; Micheal Houle; Matthew Hubbell; Michael Jones 001; Jeremy Kepner; Andrew C. Kirby; Peter Michaleas; et al. (HPEC, 2020)

GraphChallenge.org Sparse Deep Neural Network Performance. - Jeremy Kepner; Simon Alford; Vijay Gadepally; Michael Jones 001; Lauren Milechin; Albert Reuther; Ryan A. Robinett; Sid Samsi (HPEC, 2020)

Fast Mapping onto Census Blocks. - Jeremy Kepner; Andreas Kipf; Darren Engwirda; Navin Vembar; Michael Jones 001; Lauren Milechin; Vijay Gadepally; Chris Hill; Tim Kraska; William Arcand; David Bestor; William Bergeron; et al. (HPEC, 2020)

Multi-Temporal Analysis and Scaling Relations of 100, 000, 000, 000 Network Packets. - Jeremy Kepner; Chad R. Meiners; Chansup Byun; Sarah McGuire; Timothy Davis; William Arcand; Jonathan Bernays; David Bestor; William Bergeron; Vijay Gadepally; Raul Harnasch; Matthew Hubbell; et al. (HPEC, 2020)

Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid. - Andrew C. Kirby; Siddharth Samsi; Michael Jones 001; Albert Reuther; Jeremy Kepner; Vijay Gadepally (HPEC, 2020)

Survey of Machine Learning Accelerators. - Albert Reuther; Peter Michaleas; Michael Jones 001; Vijay Gadepally; Siddharth Samsi; Jeremy Kepner (HPEC, 2020)

Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision Training. - Siddharth Samsi; Michael Jones 001; Mark M. Veillette (HPEC, 2020)

GraphChallenge.org Triangle Counting Performance. - Siddharth Samsi; Jeremy Kepner; Vijay Gadepally; Michael B. Hurley; Michael Jones 001; Edward K. Kao; Sanjeev Mohindra; Albert Reuther; Steven Thomas Smith; William Song; Diane Staheli; Paul Monticciolo (HPEC, 2020)

Benchmarking network fabrics for data distributed training of deep neural networks. - Siddharth Samsi; Andrew Prout; Michael Jones 001; Andrew C. Kirby; Bill Arcand; Bill Bergeron; David Bestor; Chansup Byun; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Anna Klein; et al. (HPEC, 2020)

75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices. - Jeremy Kepner; Tim Davis 001; Chansup Byun; William Arcand; David Bestor; William Bergeron; Vijay Gadepally; Matthew Hubbell; Michael Houle 001; Michael Jones 001; Anna Klein; Peter Michaleas; et al. (IPDPS Workshops, 2020)

SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology. - Mark S. Veillette; Siddharth Samsi; Christopher J. Mattioli (NeurIPS, 2020)

AI Data Wrangling with Associative Arrays. - Jeremy Kepner; Vijay Gadepally; Hayden Jananthan; Lauren Milechin; Siddharth Samsi (CoRR, 2020)

3D Real-Time Supercomputer Monitoring. - Bill Bergeron; Matthew Hubbell; Dylan Sequeira; Winter Williams; William Arcand; David Bestor; Chansup Byun; Vijay Gadepally; Michael Houle 001; Michael Jones 001; Anna Klien; Peter Michaleas; et al. (HPEC, 2021)

Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs. - Chansup Byun; William Arcand; David Bestor; Bill Bergeron; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Michael Jones 001; Anna Klein; Peter Michaleas; Lauren Milechin; Julie Mullen; et al. (HPEC, 2021)

Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices. - Jeremy Kepner; Tim Davis 001; Chansup Byun; William Arcand; David Bestor; William Bergeron; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Michael Jones 001; Anna Klein; Lauren Milechin; et al. (HPEC, 2021)

Spatial Temporal Analysis of 40, 000, 000, 000, 000 Internet Darkspace Packets. - Jeremy Kepner; Michael Jones 001; Daniel Andersen; Aydin Buluç; Chansup Byun; Kimberly C. Claffy; Timothy Davis; William Arcand; Jonathan Bernays; David Bestor; William Bergeron; Vijay Gadepally; et al. (HPEC, 2021)

Serving Machine Learning Inference Using Heterogeneous Hardware. - Baolin Li; Vijay Gadepally; Siddharth Samsi; Mark S. Veillette; Devesh Tiwari (HPEC, 2021)

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

AI Accelerator Survey and Trends. - Albert Reuther; Peter Michaleas; Michael Jones 001; Vijay Gadepally; Siddharth Samsi; Jeremy Kepner (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)

Maneuver Identification Challenge. - Kaira Samuel; Vijay Gadepally; David Jacobs; Michael Jones 001; Kyle McAlpin; Kyle Palko; Ben Paulk; Sid Samsi; Ho Chit Siu; Charles Yee; Jeremy Kepner (HPEC, 2021)

Supercomputing Enabled Deployable Analytics for Disaster Response. - Kaira Samuel; Jeremy Kepner; Michael Jones 001; Lauren Milechin; Vijay Gadepally; William Arcand; David Bestor; William Bergeron; Chansup Byun; Matthew Hubbell; Michael Houle 001; Anna Klein; et al. (HPEC, 2021)

The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes. - Matthew L. Weiss; Nathan C. Frey; Siddharth Samsi; Randy C. Paffenroth; Vijay Gadepally (CoRR, 2021)

Scalable Geometric Deep Learning on Molecular Graphs. - Nathan C. Frey; Siddharth Samsi; Joseph McDonald; Lin Li; Connor W. Coley; Vijay Gadepally (CoRR, 2021)

Bringing Atomistic Deep Learning to Prime Time. - Nathan C. Frey; Siddharth Samsi; Bharath Ramsundar; Connor W. Coley; Vijay Gadepally (CoRR, 2021)

New Phenomena in Large-Scale Internet Traffic. - Jeremy Kepner; Kenjiro Cho; K. C. Claffy; Vijay Gadepally; Sarah McGuire; Lauren Milechin; William Arcand; David Bestor; William Bergeron; Chansup Byun; Matthew Hubbell; Michael Houle 001; et al. (Massive Graph Analytics, 2022)

Graphulo: Linear Algebra Graph Kernels. - Lauren Milechin; Shana Hutchison; Hayden Jananthan; Jeremy Kepner; Benjamin A. Miller; Andrew Prout; Siddharth Samsi; Charles Yee; Vijay Gadepally (Massive Graph Analytics, 2022)

MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters. - Baolin Li; Tirthak Patel; Siddharth Samsi; Vijay Gadepally; Devesh Tiwari (SoCC, 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 001; Matthew Hubbell; et al. (HPCA, 2022)

pPython for Parallel Python Programming. - Chansup Byun; William Arcand; David Bestor; Bill Bergeron; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Hayden Jananthan; Michael Jones 001; Kurt Keville; Anna Klein; Peter Michaleas; et al. (HPEC, 2022)

Benchmarking Resource Usage for Efficient Distributed Deep Learning. - Nathan C. Frey; Baolin Li; Joseph McDonald; Dan Zhao 007; Michael Jones 001; David Bestor; Devesh Tiwari; Vijay Gadepally; Siddharth Samsi (HPEC, 2022)

Python Implementation of the Dynamic Distributed Dimensional Data Model. - Hayden Jananthan; Lauren Milechin; Michael Jones 001; William Arcand; William Bergeron; David Bestor; Chansup Byun; Michael Houle 001; Matthew Hubbell; Vijay Gadepally; Anna Klein; Peter Michaleas; et al. (HPEC, 2022)

GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic. - Michael Jones 001; Jeremy Kepner; Daniel Andersen; Aydin Buluç; Chansup Byun; K. C. Claffy; Timothy Davis; William Arcand; Jonathan Bernays; David Bestor; William Bergeron; Vijay Gadepally; et al. (HPEC, 2022)

DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters. - Baolin Li; Tirthak Patel; Vijay Gadepally; Karen Gettings; Siddharth Samsi; Devesh Tiwari (HPEC, 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 001; Vijay Gadepally; Siddharth Samsi (HPEC, 2022)

AI and ML Accelerator Survey and Trends. - Albert Reuther; Peter Michaleas; Michael Jones 001; Vijay Gadepally; Siddharth Samsi; Jeremy Kepner (HPEC, 2022)

Hypersparse Network Flow Analysis of Packets with GraphBLAS. - Tyler Trigg; Chad R. Meiners; Sandeep Pisharody; Hayden Jananthan; Michael Jones 001; Adam Michaleas; Timothy Davis; Erik Welch; William Arcand; David Bestor; William Bergeron; Chansup Byun; et al. (HPEC, 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)

Energy-aware neural architecture selection and hyperparameter optimization. - Nathan C. Frey; Dan Zhao 007; Simon Axelrod; Michael Jones 001; David Bestor; Vijay Gadepally; Rafael Gómez-Bombarelli; Siddharth Samsi (IPDPS Workshops, 2022)

Temporal Correlation of Internet Observatories and Outposts. - Jeremy Kepner; Michael Jones 001; Daniel Andersen; Aydin Buluç; Chansup Byun; K. C. Claffy; Timothy Davis; William Arcand; Jonathan Bernays; David Bestor; William Bergeron; Vijay Gadepally; et al. (IPDPS Workshops, 2022)

Characterizing Multi-Instance GPU for Machine Learning Workloads. - Baolin Li; Vijay Gadepally; Siddharth Samsi; Devesh Tiwari (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; William Bergeron; Chansup Byun; Daniel Edelman; Michael Houle 001; et al. (IPDPS Workshops, 2022)

Loss Curve Approximations for Fast Neural Architecture Ranking & Training Elasticity Estimation. - Dan Zhao 007; Nathan C. Frey; Vijay Gadepally; Siddharth Samsi (IPDPS Workshops, 2022)

A Green(er) World for A.I. - Dan Zhao 007; Nathan C. Frey; Joseph McDonald; Matthew Hubbell; David Bestor; Michael Jones 001; Andrew Prout; Vijay Gadepally; Siddharth Samsi (IPDPS Workshops, 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 (NAACL-HLT (Findings), 2022)

New Phenomena in Large-Scale Internet Traffic. - Jeremy Kepner; Kenjiro Cho; Kimberly C. Claffy; Vijay Gadepally; Sarah McGuire; Lauren Milechin; William Arcand; David Bestor; William Bergeron; Chansup Byun; Matthew Hubbell; Michael Houle 001; et al. (CoRR, 2022)

GraphBLAS on the Edge: High Performance Streaming of Network Traffic. - Michael Jones 001; Jeremy Kepner; Daniel Andersen; Aydin Buluç; Chansup Byun; Kimberly C. Claffy; Timothy Davis; William Arcand; Jonathan Bernays; David Bestor; William Bergeron; Vijay Gadepally; et al. (CoRR, 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)

Developing a Series of AI Challenges for the United States Department of the Air Force. - Vijay Gadepally; Gregory Angelides; Andrei Barbu; Andrew Bowne; Laura J. Brattain; Tamara Broderick; Armando Cabrera; Glenn Carl; Ronisha Carter; Miriam Cha; Emilie Cowen; Jesse Cummings; et al. (CoRR, 2022)

Using Multi-Instance GPU for Efficient Operation of Multi-Tenant GPU Clusters. - Baolin Li; Tirthak Patel; Siddharth Samsi; Vijay Gadepally; Devesh Tiwari (CoRR, 2022)

Building Heterogeneous Cloud System for Machine Learning Inference. - Baolin Li; Siddharth Samsi; Vijay Gadepally; Devesh Tiwari (CoRR, 2022)

Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. - Dan Zhao 007; Siddharth Samsi; Joseph McDonald; Baolin Li; David Bestor; Michael Jones 001; Devesh Tiwari; Vijay Gadepally (SoCC, 2023)

Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources. - Baolin Li; Siddharth Samsi; Vijay Gadepally; Devesh Tiwari (HPDC, 2023)

pPython Performance Study. - Chansup Byun; William Arcand; David Bestor; Bill Bergeron; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Hayden Jananthan; Michael Jones 001; Anna Klein; Peter Michaleas; Lauren Milechin; et al. (HPEC, 2023)

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

Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations. - Hayden Jananthan; Jeremy Kepner; Michael Jones 001; William Arcand; David Bestor; William Bergeron; Chansup Byun; Timothy Davis; Vijay Gadepally; Daniel Grant; Michael Houle 001; Matthew Hubbell; et al. (HPEC, 2023)

Deployment of Real-Time Network Traffic Analysis Using GraphBLAS Hypersparse Matrices and D4M Associative Arrays. - Michael Jones 001; Jeremy Kepner; Andrew Prout; Timothy Davis; William Arcand; David Bestor; William Bergeron; Chansup Byun; Vijay Gadepally; Micheal Houle; Matthew Hubbell; Hayden Jananthan; et al. (HPEC, 2023)

Focusing and Calibration of Large Scale Network Sensors Using GraphBLAS Anonymized Hypersparse Matrices. - Jeremy Kepner; Michael Jones 001; Phil Dykstra; Chansup Byun; Timothy Davis; Hayden Jananthan; William Arcand; David Bestor; William Bergeron; Vijay Gadepally; Micheal Houle; Matthew Hubbell; et al. (HPEC, 2023)

Lincoln AI Computing Survey (LAICS) Update. - Albert Reuther; Peter Michaleas; Michael Jones 001; Vijay Gadepally; Siddharth Samsi; Jeremy Kepner (HPEC, 2023)

From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. - Siddharth Samsi; Dan Zhao 007; Joseph McDonald; Baolin Li; Adam Michaleas; Michael Jones 001; William Bergeron; Jeremy Kepner; Devesh Tiwari; Vijay Gadepally (HPEC, 2023)

Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. - Baolin Li; Rohan Basu Roy; Daniel Wang; Siddharth Samsi; Vijay Gadepally; Devesh Tiwari (SC, 2023)

Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. - Baolin Li; Siddharth Samsi; Vijay Gadepally; Devesh Tiwari (SC, 2023)

Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning. - Baolin Li; Siddharth Samsi; Vijay Gadepally; Devesh Tiwari (CoRR, 2023)

Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems. - Baolin Li; Siddharth Samsi; Vijay Gadepally; Devesh Tiwari (CoRR, 2023)

Neural scaling of deep chemical models. - Nathan C. Frey; Ryan Soklaski; Simon Axelrod; Siddharth Samsi; Rafael Gómez-Bombarelli; Connor W. Coley; Vijay Gadepally (Nat. Mac. Intell., 2023)

Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining. - Baolin Li; Siddharth Samsi; Vijay Gadepally; Devesh Tiwari (IPDPS, 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)