Siddharth Samsi

170 papers A* 2A 5Journal 84Unranked 77
YearRankTypeTitle / Venue / Authors
2025 — conf
Advancing AI Challenges for the United States Department of the Air Force
HPEC
Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone, Zachary Folcik, J. Daniel Griffith, Michael Houle, Jonathan P. How, Nathan Hughes, Ifueko Igbinedion, Hayden Jananthan, Tejas Jayashankar, Michael Jones, Sertac Karaman, Binoy G. Kurien, Alejandro Lancho, Giovanni Lavezzi, Gary C. F. Lee, Charles E. Leiserson, Richard Linares, Lindsey McEvoy, Peter Michaleas, Chasen Milner, Alex Pentland, Yury Polyanskiy, Jovan Popovich, Jeffrey Price, Tim W. Reid, Stephanie Riley, Siddharth Samsi, Peter Saunders, Olga Simek, Mark S. Veillette, Amir Weiss, Gregory W. Wornell, Daniela Rus, Scott T. Ruppel
2025 J jnl
Advancing AI Challenges for the United States Department of the Air Force.
CoRR
Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone, Zachary Folcik, J. Daniel Griffith, Michael Houle, Jonathan P. How, Nathan Hughes, Ifueko Igbinedion, Hayden Jananthan, Tejas Jayashankar, Michael Jones, Sertac Karaman, Binoy G. Kurien, Alejandro Lancho, Giovanni Lavezzi, Gary C. F. Lee, Charles E. Leiserson, Richard Linares, Lindsey McEvoy, Peter Michaleas, Chasen Milner, Alex Pentland, Yury Polyanskiy, Jovan Popovich, Jeffrey Price, Tim W. Reid, Stephanie Riley, Siddharth Samsi, Peter Saunders, Olga Simek, Mark S. Veillette, Amir Weiss, Gregory W. Wornell, Daniela Rus, Scott T. Ruppel
2025 — conf
Combining Performance and Productivity: Accelerating the Network Sensing Graph Challenge with GPUs and Commodity Data Science Software.
HPEC
Siddharth Samsi, Dan Campbell, Emanuel Scoullos, Oded Green
2025 J jnl
Combining Performance and Productivity: Accelerating the Network Sensing Graph Challenge with GPUs and Commodity Data Science Software.
CoRR
Siddharth Samsi, Dan Campbell, Emanuel Scoullos, Oded Green
2025 A conf
GreenMix: Energy-Efficient Serverless Computing via Randomized Sketching on Asymmetric Multi-Cores.
SC
Rohan Basu Roy, Tirthak Patel, Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
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 A conf
Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining.
IPDPS
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
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 A conf
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service.
SC
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2023 — conf
Deployment of Real-Time Network Traffic Analysis Using GraphBLAS Hypersparse Matrices and D4M Associative Arrays.
HPEC
Michael Jones, Jeremy Kepner, Andrew Prout, Timothy Davis, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Sandeep Pisharody, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
2023 J jnl
Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays.
CoRR
Michael Jones, Jeremy Kepner, Andrew Prout, Timothy Davis, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Sandeep Pisharody, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
2023 — conf
Focusing and Calibration of Large Scale Network Sensors Using GraphBLAS Anonymized Hypersparse Matrices.
HPEC
Jeremy Kepner, Michael Jones, Phil Dykstra, Chansup Byun, Timothy Davis, Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas
2023 J jnl
Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices.
CoRR
Jeremy Kepner, Michael Jones, Phil Dykstra, Chansup Byun, Timothy Davis, Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas
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 J jnl
Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning.
CoRR
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2023 A conf
Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources.
HPDC
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2023 — conf
Lincoln AI Computing Survey (LAICS) Update.
HPEC
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
2023 J jnl
Lincoln AI Computing Survey (LAICS) Update.
CoRR
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
2023 — conf
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations.
HPEC
Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas
2023 J jnl
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations.
CoRR
Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas
2023 J jnl
Neural scaling of deep chemical models.
Nat. Mac. Intell.
Nathan C. Frey, Ryan Soklaski, Simon Axelrod, Siddharth Samsi, Rafael Gómez-Bombarelli, Connor W. Coley, Vijay Gadepally
2023 J jnl
Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems.
CoRR
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
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 A conf
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems.
SC
Baolin Li, Rohan Basu Roy, Daniel Wang, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2023 — conf
pPython Performance Study.
HPEC
Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
2023 J jnl
pPython Performance Study.
CoRR
Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
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 — conf
AI and ML Accelerator Survey and Trends.
HPEC
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
2022 J jnl
AI and ML Accelerator Survey and Trends.
CoRR
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
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 J jnl
Building Heterogeneous Cloud System for Machine Learning Inference.
CoRR
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2022 — conf
Characterizing Multi-Instance GPU for Machine Learning Workloads.
IPDPS Workshops
Baolin Li, Vijay Gadepally, Siddharth Samsi, Devesh Tiwari
2022 — conf
DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters.
HPEC
Baolin Li, Tirthak Patel, Vijay Gadepally, Karen Gettings, Siddharth Samsi, Devesh Tiwari
2022 J jnl
Developing a Series of AI Challenges for the United States Department of the Air Force.
CoRR
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, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner
2022 — conf
Energy-aware neural architecture selection and hyperparameter optimization.
IPDPS Workshops
Nathan C. Frey, Dan Zhao, Simon Axelrod, Michael Jones, David Bestor, Vijay Gadepally, Rafael Gómez-Bombarelli, Siddharth Samsi
2022 — conf
GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic.
HPEC
Michael Jones, Jeremy Kepner, Daniel Andersen, Aydin Buluç, Chansup Byun, K. C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Jon Sreekanth, Doug Stetson, Charles Yee, Peter Michaleas
2022 J jnl
GraphBLAS on the Edge: High Performance Streaming of Network Traffic.
CoRR
Michael Jones, Jeremy Kepner, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Jon Sreekanth, Doug Stetson, Charles Yee, Peter Michaleas
2022 — ch.
Graphulo: Linear Algebra Graph Kernels.
Massive Graph Analytics
Lauren Milechin, Shana Hutchison, Hayden Jananthan, Jeremy Kepner, Benjamin A. Miller, Andrew Prout, Siddharth Samsi, Charles Yee, Vijay Gadepally
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
Hypersparse Network Flow Analysis of Packets with GraphBLAS.
HPEC
Tyler Trigg, Chad R. Meiners, Sandeep Pisharody, Hayden Jananthan, Michael Jones, Adam Michaleas, Timothy Davis, Erik Welch, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Jeremy Kepner
2022 J jnl
Hypersparse Network Flow Analysis of Packets with GraphBLAS.
CoRR
Tyler Trigg, Chad R. Meiners, Sandeep Pisharody, Hayden Jananthan, Michael Jones, Adam Michaleas, Timothy Davis, Erik Welch, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Jeremy Kepner
2022 — conf
Loss Curve Approximations for Fast Neural Architecture Ranking & Training Elasticity Estimation.
IPDPS Workshops
Dan Zhao, Nathan C. Frey, Vijay Gadepally, Siddharth Samsi
2022 — conf
MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters.
SoCC
Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2022 — ch.
New Phenomena in Large-Scale Internet Traffic.
Massive Graph Analytics
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, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
2022 J jnl
New Phenomena in Large-Scale Internet Traffic.
CoRR
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, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
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
Python Implementation of the Dynamic Distributed Dimensional Data Model.
HPEC
Hayden Jananthan, Lauren Milechin, Michael Jones, William Arcand, William Bergeron, David Bestor, Chansup Byun, Michael Houle, Matthew Hubbell, Vijay Gadepally, Anna Klein, Peter Michaleas, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
2022 J jnl
Python Implementation of the Dynamic Distributed Dimensional Data Model.
CoRR
Hayden Jananthan, Lauren Milechin, Michael Jones, William Arcand, William Bergeron, David Bestor, Chansup Byun, Michael Houle, Matthew Hubbell, Vijay Gadepally, Anna Klein, Peter Michaleas, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
2022 — conf
Temporal Correlation of Internet Observatories and Outposts.
IPDPS Workshops
Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, K. C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Daniel Grant, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Andrew Morris, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Peter Michaleas
2022 J jnl
Temporal Correlation of Internet Observatories and Outposts.
CoRR
Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Daniel Grant, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Andrew Morris, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Peter Michaleas
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
2022 J jnl
Using Multi-Instance GPU for Efficient Operation of Multi-Tenant GPU Clusters.
CoRR
Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2022 — conf
pPython for Parallel Python Programming.
HPEC
Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Kurt Keville, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
2022 J jnl
pPython for Parallel Python Programming.
CoRR
Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Kurt Keville, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
2021 — conf
3D Real-Time Supercomputer Monitoring.
HPEC
Bill Bergeron, Matthew Hubbell, Dylan Sequeira, Winter Williams, William Arcand, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Michael Jones, Anna Klien, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
2021 J jnl
3D Real-Time Supercomputer Monitoring.
CoRR
Bill Bergeron, Matthew Hubbell, Dylan Sequeira, Winter Williams, William Arcand, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Michael Jones, Anna Klien, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
2021 — conf
AI Accelerator Survey and Trends.
HPEC
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
2021 J jnl
AI Accelerator Survey and Trends.
CoRR
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
2021 J jnl
Bringing Atomistic Deep Learning to Prime Time.
CoRR
Nathan C. Frey, Siddharth Samsi, Bharath Ramsundar, Connor W. Coley, Vijay Gadepally
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 — conf
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs.
HPEC
Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
2021 J jnl
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs.
CoRR
Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
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
Serving Machine Learning Inference Using Heterogeneous Hardware.
HPEC
Baolin Li, Vijay Gadepally, Siddharth Samsi, Mark S. Veillette, Devesh Tiwari
2021 — conf
Spatial Temporal Analysis of 40, 000, 000, 000, 000 Internet Darkspace Packets.
HPEC
Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas
2021 J jnl
Spatial Temporal Analysis of 40, 000, 000, 000, 000 Internet Darkspace Packets.
CoRR
Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas
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
2021 J jnl
The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes.
CoRR
Matthew L. Weiss, Nathan C. Frey, Siddharth Samsi, Randy C. Paffenroth, Vijay Gadepally
2021 — conf
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices.
HPEC
Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
2021 J jnl
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices.
CoRR
Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
2020 — conf
75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices.
IPDPS Workshops
Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
2020 J jnl
75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices.
CoRR
Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
2020 J jnl
AI Data Wrangling with Associative Arrays.
CoRR
Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi
2020 — conf
Accuracy and Performance Comparison of Video Action Recognition Approaches.
HPEC
Matthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Micheal Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Andrew C. Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally
2020 J jnl
Accuracy and Performance Comparison of Video Action Recognition Approaches.
CoRR
Matthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Andrew C. Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally
2020 — conf
Benchmarking network fabrics for data distributed training of deep neural networks.
HPEC
Siddharth Samsi, Andrew Prout, Michael Jones, Andrew C. Kirby, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, Jeremy Kepner
2020 J jnl
Benchmarking network fabrics for data distributed training of deep neural networks.
CoRR
Siddharth Samsi, Andrew Prout, Michael Jones, Andrew C. Kirby, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, Jeremy Kepner
2020 — conf
Best of Both Worlds: High Performance Interactive and Batch Launching.
HPEC
Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Andrew C. Kirby, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
2020 J jnl
Best of Both Worlds: High Performance Interactive and Batch Launching.
CoRR
Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Andrew C. Kirby, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
2020 — conf
Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision Training.
HPEC
Siddharth Samsi, Michael Jones, Mark M. Veillette
2020 J jnl
Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision Training.
CoRR
Siddharth Samsi, Michael Jones, Mark M. Veillette
2020 — conf
GraphChallenge.org Triangle Counting Performance.
HPEC
Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Paul Monticciolo
2020 J jnl
GraphChallenge.org Triangle Counting Performance.
CoRR
Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Paul Monticciolo
2020 J jnl
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid.
CoRR
Andrew C. Kirby, Siddharth Samsi, Michael Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally
2020 — conf
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid.
HPEC
Andrew C. Kirby, Siddharth Samsi, Michael Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally
2020 — conf
Multi-Temporal Analysis and Scaling Relations of 100, 000, 000, 000 Network Packets.
HPEC
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, Micheal Houle, Michael Jones, Andrew C. Kirby, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas
2020 J jnl
Multi-Temporal Analysis and Scaling Relations of 100, 000, 000, 000 Network Packets.
CoRR
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, Michael Houle, Michael Jones, Andrew C. Kirby, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas
2020 A* conf
SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology.
NeurIPS
Mark S. Veillette, Siddharth Samsi, Christopher J. Mattioli
2020 — conf
Segmentation of Tau Stained Alzheimers Brain Tissue Using Convolutional Neural Networks.
EMBC
Alexander Wurts, Derek H. Oakley, Bradley T. Hyman, Siddharth Samsi
2020 — conf
Survey of Machine Learning Accelerators.
HPEC
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
2020 J jnl
Survey of Machine Learning Accelerators.
CoRR
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
2019 J jnl
A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases.
CoRR
Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther
2019 J jnl
AI Enabling Technologies: A Survey.
CoRR
Vijay Gadepally, Justin Goodwin, Jeremy Kepner, Albert Reuther, Hayley Reynolds, Siddharth Samsi, Jonathan Su, David Martinez
2019 — conf
Distributed Deep Learning for Precipitation Nowcasting.
HPEC
Siddharth Samsi, Christopher J. Mattioli, Mark S. Veillette
2019 J jnl
Distributed Deep Learning for Precipitation Nowcasting.
CoRR
Siddharth Samsi, Christopher J. Mattioli, Mark S. Veillette
2019 — conf
Large Scale Organization and Inference of an Imagery Dataset for Public Safety.
HPEC
Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew J. Weinert
2019 J jnl
Large Scale Organization and Inference of an Imagery Dataset for Public Safety.
CoRR
Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew J. Weinert
2019 — conf
Large Scale Parallelization Using File-Based Communications.
HPEC
Chansup Byun, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones
2019 J jnl
Large Scale Parallelization Using File-Based Communications.
CoRR
Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
2019 J jnl
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers.
CoRR
Julie Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
2019 — conf
Optimizing Xeon Phi for Interactive Data Analysis.
HPEC
Chansup Byun, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones
2019 J jnl
Optimizing Xeon Phi for Interactive Data Analysis.
CoRR
Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
2019 — conf
Securing HPC using Federated Authentication.
HPEC
Andrew Prout, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones
2019 J jnl
Securing HPC using Federated Authentication.
CoRR
Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner
2019 — conf
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M.
HPEC
Jeremy Kepner, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell
2019 J jnl
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M.
CoRR
Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther
2019 — conf
Survey and Benchmarking of Machine Learning Accelerators.
HPEC
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
2019 J jnl
Survey and Benchmarking of Machine Learning Accelerators.
CoRR
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
2019 — conf
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir.
HPEC
Tao B. Schardl, Siddharth Samsi
2019 J jnl
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir.
CoRR
Tao B. Schardl, Siddharth Samsi
2018 — conf
Colorization of H&E stained tissue using Deep Learning.
EMBC
Siddharth Samsi, Michael Jones, Jeremy Kepner, Albert Reuther
2018 — conf
Design, Generation, and Validation of Extreme Scale Power-Law Graphs.
IPDPS Workshops
Jeremy Kepner, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Tim Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Roger Pearce, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Geoffrey Sanders, Charles Yee, Albert Reuther
2018 J jnl
Design, Generation, and Validation of Extreme Scale Power-Law Graphs.
CoRR
Jeremy Kepner, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Tim Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Roger Pearce, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Geoffrey Sanders, Charles Yee, Albert Reuther
2018 — conf
GraphChallenge.org: Raising the Bar on Graph Analytic Performance.
HPEC
Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner
2018 J jnl
GraphChallenge.org: Raising the Bar on Graph Analytic Performance.
CoRR
Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner
2018 — conf
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud.
HPEC
Vijay Gadepally, Jeremy Kepner, Lauren Milechin, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Siddharth Samsi, Albert Reuther
2018 J jnl
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud.
CoRR
Vijay Gadepally, Jeremy Kepner, Lauren Milechin, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Siddharth Samsi, Albert Reuther
2018 — conf
Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer.
HPEC
Michael Jones, Jeremy Kepner, Bradley Orchard, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
2018 J jnl
Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer.
CoRR
Michael Jones, Jeremy Kepner, Bradley Orchard, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
2018 — conf
Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis.
HPEC
Albert Reuther, Jeremy Kepner, Chansup Byun, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas
2018 J jnl
Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis.
CoRR
Albert Reuther, Jeremy Kepner, Chansup Byun, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas
2018 — conf
Large-Scale Bayesian Kinship Analysis.
HPEC
Siddharth Samsi, Bea Yu, Darrell O. Ricke, Philip Fremont-Smith, Jeremy Kepner, Albert Reuther
2018 — conf
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers.
ISC Workshops
Julia S. Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
2018 — conf
Measuring the Impact of Spectre and Meltdown.
HPEC
Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner
2018 J jnl
Measuring the Impact of Spectre and Meltdown.
CoRR
Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner
2018 J jnl
Sparse Deep Neural Network Exact Solutions.
CoRR
Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi
2017 J jnl
A Linear Algebra Approach to Fast DNA Mixture Analysis Using GPUs.
CoRR
Siddharth Samsi, Brian S. Helfer, Jeremy Kepner, Albert Reuther, Darrell O. Ricke
2017 — conf
A linear algebra approach to fast DNA mixture analysis using GPUs.
HPEC
Siddharth Samsi, Brian S. Helfer, Jeremy Kepner, Albert Reuther, Darrell O. Ricke
2017 — conf
Automated dense neuronal fiber tracing and connectivity mapping at cellular level.
ISBI
Laura J. Brattain, Brian A. Telfer, Siddharth Samsi, Taeyun Ku, Heejin Choi, Kwanghun Chung
2017 J jnl
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor.
CoRR
Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
2017 — conf
Benchmarking data analysis and machine learning applications on the Intel KNL many-core processor.
HPEC
Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
2017 J jnl
D4M 3.0.
CoRR
Lauren Milechin, Alexander Chen, Vijay Gadepally, Dylan Hutchison, Siddharth Samsi, Jeremy Kepner
2017 J jnl
D4M 3.0: Extended Database and Language Capabilities.
CoRR
Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison
2017 — conf
D4M 3.0: Extended database and language capabilities.
HPEC
Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison
2017 J jnl
Learning by doing, High Performance Computing education in the MOOC era.
J. Parallel Distributed Comput.
Julia S. Mullen, Chansup Byun, Vijay Gadepally, Siddharth Samsi, Albert Reuther, Jeremy Kepner
2017 J jnl
MIT SuperCloud Portal Workspace: Enabling HPC Web Application Deployment.
CoRR
Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner
2017 — conf
MIT SuperCloud portal workspace: Enabling HPC web application deployment.
HPEC
Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner
2017 J jnl
Performance Measurements of Supercomputing and Cloud Storage Solutions.
CoRR
Michael Jones, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Peter Michaleas, Andrew Prout, Albert Reuther, Siddharth Samsi, Paul Monticiollo
2017 — conf
Performance measurements of supercomputing and cloud storage solutions.
HPEC
Michael Jones, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Peter Michaleas, Andrew Prout, Albert Reuther, Siddharth Samsi, Paul Monticiollo
2017 J jnl
Static Graph Challenge: Subgraph Isomorphism.
CoRR
Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William S. Song, Diane Staheli, Jeremy Kepner
2017 — conf
Static graph challenge: Subgraph isomorphism.
HPEC
Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner
2017 J jnl
Streaming Graph Challenge: Stochastic Block Partition.
CoRR
Edward K. Kao, Vijay Gadepally, Michael B. Hurley, Michael Jones, Jeremy Kepner, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Siddharth Samsi, William Song, Diane Staheli, Steven Thomas Smith
2017 — conf
Streaming graph challenge: Stochastic block partition.
HPEC
Edward K. Kao, Vijay Gadepally, Michael B. Hurley, Michael Jones, Jeremy Kepner, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Siddharth Samsi, William Song, Diane Staheli, Steven Thomas Smith
2016 J jnl
Associative Array Model of SQL, NoSQL, and NewSQL Databases.
CoRR
Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther
2016 — conf
Associative array model of SQL, NoSQL, and NewSQL databases.
HPEC
Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther
2016 J jnl
Benchmarking SciDB Data Import on HPC Systems.
CoRR
Siddharth Samsi, Laura J. Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther
2016 — conf
Benchmarking SciDB data import on HPC systems.
HPEC
Siddharth Samsi, Laura J. Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther
2016 J jnl
Enhancing HPC Security with a User-Based Firewall.
CoRR
Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner
2016 — conf
Enhancing HPC security with a user-based firewall.
HPEC
Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner
2016 J jnl
Scalability of VM Provisioning Systems.
CoRR
Mike Jones, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Lauren Milechin, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner, Peter Michaleas, Julie Mullen, Andy Prout, Tony Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
2016 — conf
Scalability of VM provisioning systems.
HPEC
Mike Jones, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Lauren Milechin, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner, Peter Michaleas, Julie Mullen, Andy Prout, Tony Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
2014 — conf
Automated nuclei clump splitting by combining local concavity orientation and graph partitioning.
BHI
Siddharth Samsi, Christophe Trefois, Paul M. A. Antony, Alexander Skupin
2014 J jnl
Parallel MATLAB Techniques.
CoRR
Ashok K. Krishnamurthy, Siddharth Samsi, Vijay Gadepally
2012 J jnl
An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry.
J. Comput. Sci.
Siddharth Samsi, Ashok K. Krishnamurthy, Metin N. Gurcan
2011 J jnl
Automatic detection of follicular regions in H&E images using iterative shape index.
Comput. Medical Imaging Graph.
Kamel Belkacem-Boussaid, Siddharth Samsi, Gerard Lozanski, Metin N. Gurcan
2010 J jnl
Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed.
IEEE Trans. Biomed. Eng.
Siddharth Samsi, Gerard Lozanski, Arwa Shanaah, Ashok K. Krishnamurthy, Metin N. Gurcan
2010 J jnl
MATLAB for Signal Processing on Multiprocessors and Multicores.
IEEE Signal Process. Mag.
Siddharth Samsi, Vijay Gadepally, Ashok K. Krishnamurthy
2009 J jnl
A Computational Science IDE for HPC Systems: Design and Applications.
Int. J. Parallel Program.
David E. Hudak, Neil Ludban, Ashok K. Krishnamurthy, Vijay Gadepally, Siddharth Samsi, John Nehrbass
2008 — conf
Experiences from Cyberinfrastructure Development for Multi-user Remote Instrumentation.
eScience
Prasad Calyam, Abdul Kalash, Neil Ludban, Sowmya Gopalan, Siddharth Samsi, Karen A. Tomko, David E. Hudak, Ashok K. Krishnamurthy
2007 — conf
Survey of Parallel MATLAB Techniques and Applications to Signal and Image Processing.
ICASSP (4)
Ashok K. Krishnamurthy, John Nehrbass, Juan Carlos Chaves, Siddharth Samsi