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2020 – today
- 2024
- [c87]Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining. IPDPS 2024: 337-349 - [i79]Mark S. Veillette, James M. Kurdzo, Phillip M. Stepanian, John Y. N. Cho, Siddharth Samsi, Joseph McDonald:
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data. CoRR abs/2401.16437 (2024) - [i78]Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally:
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. CoRR abs/2402.18593 (2024) - 2023
- [j7]Nathan C. Frey
, Ryan Soklaski, Simon Axelrod, Siddharth Samsi, Rafael Gómez-Bombarelli
, Connor W. Coley
, Vijay Gadepally:
Neural scaling of deep chemical models. Nat. Mac. Intell. 5(11): 1297-1305 (2023) - [c86]Dan Zhao
, Siddharth Samsi
, Joseph McDonald
, Baolin Li
, David Bestor
, Michael Jones
, Devesh Tiwari
, Vijay Gadepally
:
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. SoCC 2023: 588-596 - [c85]Baolin Li
, Siddharth Samsi
, Vijay Gadepally
, Devesh Tiwari
:
Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources. HPDC 2023: 3-16 - [c84]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:
pPython Performance Study. HPEC 2023: 1-7 - [c83]Daniel Edelman, Siddharth Samsi, Joseph McDonald, Adam Michaleas, Vijay Gadepally:
An Analysis of Energy Requirement for Computer Vision Algorithms. HPEC 2023: 1-7 - [c82]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:
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations. HPEC 2023: 1-9 - [c81]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:
Deployment of Real-Time Network Traffic Analysis Using GraphBLAS Hypersparse Matrices and D4M Associative Arrays. HPEC 2023: 1-8 - [c80]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:
Focusing and Calibration of Large Scale Network Sensors Using GraphBLAS Anonymized Hypersparse Matrices. HPEC 2023: 1-9 - [c79]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Lincoln AI Computing Survey (LAICS) Update. HPEC 2023: 1-7 - [c78]Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally:
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. HPEC 2023: 1-9 - [c77]Baolin Li
, Rohan Basu Roy
, Daniel Wang
, Siddharth Samsi
, Vijay Gadepally
, Devesh Tiwari
:
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. SC 2023: 19:1-19:15 - [c76]Baolin Li
, Siddharth Samsi
, Vijay Gadepally
, Devesh Tiwari
:
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. SC 2023: 20:1-20:15 - [i77]Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi:
A Green(er) World for A.I. CoRR abs/2301.11581 (2023) - [i76]Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning. CoRR abs/2304.09781 (2023) - [i75]Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems. CoRR abs/2306.13177 (2023) - [i74]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:
Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices. CoRR abs/2309.01806 (2023) - [i73]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:
Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays. CoRR abs/2309.02464 (2023) - [i72]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:
pPython Performance Study. CoRR abs/2309.03931 (2023) - [i71]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:
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations. CoRR abs/2310.00522 (2023) - [i70]Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally:
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. CoRR abs/2310.03003 (2023) - [i69]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Lincoln AI Computing Survey (LAICS) Update. CoRR abs/2310.09145 (2023) - 2022
- [c75]Baolin Li, Tirthak Patel
, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters. SoCC 2022: 173-189 - [c74]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:
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications. HPCA 2022: 1224-1237 - [c73]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:
pPython for Parallel Python Programming. HPEC 2022: 1-6 - [c72]Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Benchmarking Resource Usage for Efficient Distributed Deep Learning. HPEC 2022: 1-8 - [c71]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:
Python Implementation of the Dynamic Distributed Dimensional Data Model. HPEC 2022: 1-8 - [c70]Michael Jones, Jeremy Kepner, Daniel Andersen, Aydin Buluç
, Chansup Byun, kc 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:
GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic. HPEC 2022: 1-8 - [c69]Baolin Li, Tirthak Patel
, Vijay Gadepally, Karen Gettings, Siddharth Samsi, Devesh Tiwari:
DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters. HPEC 2022: 1-7 - [c68]Joseph McDonald, James M. Kurdzo
, Phillip M. Stepanian, Mark Veillette, David Bestor, Michael Jones, Vijay Gadepally, Siddharth Samsi:
Performance Estimation for Efficient Image Segmentation Training of Weather Radar Algorithms. HPEC 2022: 1-7 - [c67]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI and ML Accelerator Survey and Trends. HPEC 2022: 1-10 - [c66]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:
Hypersparse Network Flow Analysis of Packets with GraphBLAS. HPEC 2022: 1-7 - [c65]Matthew L. Weiss, Joseph McDonald, David Bestor, Charles Yee, Daniel Edelman, Michael Jones, Andrew Prout, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally, Siddharth Samsi:
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning. HPEC 2022: 1-6 - [c64]Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç
, Chansup Byun, kc 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:
Temporal Correlation of Internet Observatories and Outposts. IPDPS Workshops 2022: 247-254 - [c63]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:
The MIT Supercloud Workload Classification Challenge. IPDPS Workshops 2022: 708-714 - [c62]Dan Zhao, Nathan C. Frey, Vijay Gadepally, Siddharth Samsi:
Loss Curve Approximations for Fast Neural Architecture Ranking & Training Elasticity Estimation. IPDPS Workshops 2022: 715-723 - [c61]Baolin Li, Vijay Gadepally, Siddharth Samsi, Devesh Tiwari:
Characterizing Multi-Instance GPU for Machine Learning Workloads. IPDPS Workshops 2022: 724-731 - [c60]Nathan C. Frey, Dan Zhao, Simon Axelrod, Michael Jones, David Bestor, Vijay Gadepally, Rafael Gómez-Bombarelli, Siddharth Samsi:
Energy-aware neural architecture selection and hyperparameter optimization. IPDPS Workshops 2022: 732-741 - [c59]Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi:
A Green(er) World for A.I. IPDPS Workshops 2022: 742-750 - [c58]Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. NAACL-HLT (Findings) 2022: 1962-1970 - [p2]Jeremy Kepner, Kenjiro Cho, kc 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:
New Phenomena in Large-Scale Internet Traffic. Massive Graph Analytics 2022: 241-285 - [p1]Lauren Milechin, Shana Hutchison, Hayden Jananthan, Jeremy Kepner, Benjamin A. Miller, Andrew Prout, Siddharth Samsi, Charles Yee, Vijay Gadepally:
Graphulo: Linear Algebra Graph Kernels. Massive Graph Analytics 2022: 525-548 - [i68]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:
New Phenomena in Large-Scale Internet Traffic. CoRR abs/2201.06096 (2022) - [i67]Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Benchmarking Resource Usage for Efficient Distributed Deep Learning. CoRR abs/2201.12423 (2022) - [i66]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:
Temporal Correlation of Internet Observatories and Outposts. CoRR abs/2203.10230 (2022) - [i65]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:
GraphBLAS on the Edge: High Performance Streaming of Network Traffic. CoRR abs/2203.13934 (2022) - [i64]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:
The MIT Supercloud Workload Classification Challenge. CoRR abs/2204.05839 (2022) - [i63]Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. CoRR abs/2205.09646 (2022) - [i62]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:
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR abs/2207.07033 (2022) - [i61]Baolin Li, Tirthak Patel
, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Using Multi-Instance GPU for Efficient Operation of Multi-Tenant GPU Clusters. CoRR abs/2207.11428 (2022) - [i60]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:
pPython for Parallel Python Programming. CoRR abs/2208.14908 (2022) - [i59]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:
Python Implementation of the Dynamic Distributed Dimensional Data Model. CoRR abs/2209.00602 (2022) - [i58]Matthew L. Weiss, Joseph McDonald, David Bestor, Charles Yee, Daniel Edelman, Michael Jones, Andrew Prout, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally, Siddharth Samsi:
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning. CoRR abs/2209.05300 (2022) - [i57]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:
Hypersparse Network Flow Analysis of Packets with GraphBLAS. CoRR abs/2209.05725 (2022) - [i56]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI and ML Accelerator Survey and Trends. CoRR abs/2210.04055 (2022) - [i55]Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Building Heterogeneous Cloud System for Machine Learning Inference. CoRR abs/2210.05889 (2022) - 2021
- [c57]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:
3D Real-Time Supercomputer Monitoring. HPEC 2021: 1-7 - [c56]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:
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs. HPEC 2021: 1-7 - [c55]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:
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices. HPEC 2021: 1-6 - [c54]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:
Spatial Temporal Analysis of 40, 000, 000, 000, 000 Internet Darkspace Packets. HPEC 2021: 1-8 - [c53]Baolin Li, Vijay Gadepally, Siddharth Samsi, Mark S. Veillette, Devesh Tiwari:
Serving Machine Learning Inference Using Heterogeneous Hardware. HPEC 2021: 1-8 - [c52]Joseph McDonald, Siddharth Samsi, Daniel Edelman, Chansup Byun, Jeremy Kepner, Vijay Gadepally:
Improved Compression for Word Embeddings by Scaling Principal Components. HPEC 2021: 1-7 - [c51]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI Accelerator Survey and Trends. HPEC 2021: 1-9 - [c50]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:
The MIT Supercloud Dataset. HPEC 2021: 1-8 - [c49]Kaira Samuel, Vijay Gadepally, David Jacobs, Michael Jones, Kyle McAlpin, Kyle Palko, Ben Paulk, Sid Samsi, Ho Chit Siu, Charles Yee, Jeremy Kepner:
Maneuver Identification Challenge. HPEC 2021: 1-7 - [c48]Kaira Samuel, Jeremy Kepner, Michael Jones, Lauren Milechin, Vijay Gadepally, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Anna Klein, Victor Lopez, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas:
Supercomputing Enabled Deployable Analytics for Disaster Response. HPEC 2021: 1-5 - [i54]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:
The MIT Supercloud Dataset. CoRR abs/2108.02037 (2021) - [i53]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:
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices. CoRR abs/2108.06650 (2021) - [i52]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:
Spatial Temporal Analysis of 40, 000, 000, 000, 000 Internet Darkspace Packets. CoRR abs/2108.06653 (2021) - [i51]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:
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs. CoRR abs/2108.11359 (2021) - [i50]Kaira Samuel, Vijay Gadepally, David Jacobs, Michael Jones, Kyle McAlpin, Kyle Palko, Ben Paulk, Sid Samsi, Ho Chit Siu, Charles Yee, Jeremy Kepner:
Maneuver Identification Challenge. CoRR abs/2108.11503 (2021) - [i49]Kaira Samuel, Jeremy Kepner, Michael Jones, Lauren Milechin, Vijay Gadepally, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Anna Klein, Victor Lopez, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas:
Supercomputing Enabled Deployable Analytics for Disaster Response. CoRR abs/2108.11525 (2021) - [i48]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:
3D Real-Time Supercomputer Monitoring. CoRR abs/2109.04532 (2021) - [i47]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI Accelerator Survey and Trends. CoRR abs/2109.08957 (2021) - [i46]Matthew L. Weiss, Nathan C. Frey, Siddharth Samsi, Randy C. Paffenroth, Vijay Gadepally:
The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes. CoRR abs/2111.07140 (2021) - [i45]Nathan C. Frey, Siddharth Samsi, Joseph McDonald, Lin Li, Connor W. Coley, Vijay Gadepally:
Scalable Geometric Deep Learning on Molecular Graphs. CoRR abs/2112.03364 (2021) - [i44]Nathan C. Frey, Siddharth Samsi, Bharath Ramsundar, Connor W. Coley, Vijay Gadepally:
Bringing Atomistic Deep Learning to Prime Time. CoRR abs/2112.04977 (2021) - 2020
- [c47]Alexander Wurts, Derek H. Oakley, Bradley T. Hyman, Siddharth Samsi:
Segmentation of Tau Stained Alzheimers Brain Tissue Using Convolutional Neural Networks. EMBC 2020: 1420-1423 - [c46]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:
Best of Both Worlds: High Performance Interactive and Batch Launching. HPEC 2020: 1-7 - [c45]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:
Accuracy and Performance Comparison of Video Action Recognition Approaches. HPEC 2020: 1-8 - [c44]Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi:
GraphChallenge.org Sparse Deep Neural Network Performance. HPEC 2020: 1-7 - [c43]Jeremy Kepner, Andreas Kipf, Darren Engwirda, Navin Vembar, Michael Jones, Lauren Milechin, Vijay Gadepally, Chris Hill, Tim Kraska, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Andrew C. Kirby
, Anna Klein, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas:
Fast Mapping onto Census Blocks. HPEC 2020: 1-8 - [c42]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:
Multi-Temporal Analysis and Scaling Relations of 100, 000, 000, 000 Network Packets. HPEC 2020: 1-6 - [c41]Andrew C. Kirby
, Siddharth Samsi, Michael Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally:
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid. HPEC 2020: 1-7 - [c40]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey of Machine Learning Accelerators. HPEC 2020: 1-12 - [c39]Siddharth Samsi, Michael Jones, Mark M. Veillette:
Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision Training. HPEC 2020: 1-6 - [c38]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:
GraphChallenge.org Triangle Counting Performance. HPEC 2020: 1-9 - [c37]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:
Benchmarking network fabrics for data distributed training of deep neural networks. HPEC 2020: 1-6 - [c36]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:
75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices. IPDPS Workshops 2020: 207-210 - [c35]Mark S. Veillette, Siddharth Samsi, Christopher J. Mattioli:
SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology. NeurIPS 2020 - [i43]Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi:
AI Data Wrangling with Associative Arrays. CoRR abs/2001.06731 (2020) - [i42]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:
75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices. CoRR abs/2001.06935 (2020) - [i41]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:
GraphChallenge.org Triangle Counting Performance. CoRR abs/2003.09269 (2020) - [i40]Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi:
GraphChallenge.org Sparse Deep Neural Network Performance. CoRR abs/2004.01181 (2020) - [i39]Andrew C. Kirby, Siddharth Samsi, Michael Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally:
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid. CoRR abs/2007.07336 (2020) - [i38]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:
Multi-Temporal Analysis and Scaling Relations of 100, 000, 000, 000 Network Packets. CoRR abs/2008.00307 (2020) - [i37]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:
Best of Both Worlds: High Performance Interactive and Batch Launching. CoRR abs/2008.02223 (2020) - [i36]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:
Benchmarking network fabrics for data distributed training of deep neural networks. CoRR abs/2008.08057 (2020) - [i35]Siddharth Samsi, Michael Jones, Mark M. Veillette:
Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision Training. CoRR abs/2008.08062 (2020) - [i34]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:
Accuracy and Performance Comparison of Video Action Recognition Approaches. CoRR abs/2008.09037 (2020) - [i33]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey of Machine Learning Accelerators. CoRR abs/2009.00993 (2020)
2010 – 2019
- 2019
- [c34]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:
Optimizing Xeon Phi for Interactive Data Analysis. HPEC 2019: 1-6 - [c33]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:
Large Scale Parallelization Using File-Based Communications. HPEC 2019: 1-7 - [c32]Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi:
Sparse Deep Neural Network Graph Challenge. HPEC 2019: 1-7 - [c31]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:
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M. HPEC 2019: 1-6 - [c30]Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew J. Weinert
:
Large Scale Organization and Inference of an Imagery Dataset for Public Safety. HPEC 2019: 1-6 - [c29]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:
Securing HPC using Federated Authentication. HPEC 2019: 1-7 - [c28]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey and Benchmarking of Machine Learning Accelerators. HPEC 2019: 1-9 - [c27]Siddharth Samsi, Christopher J. Mattioli, Mark S. Veillette:
Distributed Deep Learning for Precipitation Nowcasting. HPEC 2019: 1-7 - [c26]Tao B. Schardl, Siddharth Samsi:
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir. HPEC 2019: 1-8 - [i32]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:
A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases. CoRR abs/1902.00846 (2019) - [i31]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:
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. CoRR abs/1903.01982 (2019) - [i30]Vijay Gadepally, Justin Goodwin, Jeremy Kepner, Albert Reuther, Hayley Reynolds, Siddharth Samsi, Jonathan Su, David Martinez:
AI Enabling Technologies: A Survey. CoRR abs/1905.03592 (2019) - [i29]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:
Optimizing Xeon Phi for Interactive Data Analysis. CoRR abs/1907.03195 (2019) - [i28]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:
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M. CoRR abs/1907.04217 (2019) - [i27]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:
Securing HPC using Federated Authentication. CoRR abs/1908.07573 (2019) - [i26]Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew J. Weinert:
Large Scale Organization and Inference of an Imagery Dataset for Public Safety. CoRR abs/1908.09006 (2019) - [i25]Siddharth Samsi, Christopher J. Mattioli, Mark S. Veillette:
Distributed Deep Learning for Precipitation Nowcasting. CoRR abs/1908.10964 (2019) - [i24]Tao B. Schardl, Siddharth Samsi:
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir. CoRR abs/1908.11338 (2019) - [i23]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey and Benchmarking of Machine Learning Accelerators. CoRR abs/1908.11348 (2019) - [i22]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:
Large Scale Parallelization Using File-Based Communications. CoRR abs/1909.01241 (2019) - [i21]Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi:
Sparse Deep Neural Network Graph Challenge. CoRR abs/1909.05631 (2019) - 2018
- [c25]Siddharth Samsi, Michael Jones, Jeremy Kepner, Albert Reuther:
Colorization of H&E stained tissue using Deep Learning. EMBC 2018: 640-643 - [c24]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:
Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer. HPEC 2018: 1-6 - [c23]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:
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. HPEC 2018: 1-6 - [c22]Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Sid Samsi:
Sparse Deep Neural Network Exact Solutions. HPEC 2018: 1-8 - [c21]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:
Measuring the Impact of Spectre and Meltdown. HPEC 2018: 1-5 - [c20]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:
Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis. HPEC 2018: 1-6 - [c19]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:
GraphChallenge.org: Raising the Bar on Graph Analytic Performance. HPEC 2018: 1-7 - [c18]Siddharth Samsi, Bea Yu, Darrell O. Ricke, Philip Fremont-Smith, Jeremy Kepner, Albert Reuther:
Large-Scale Bayesian Kinship Analysis. HPEC 2018: 1-4 - [c17]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:
Design, Generation, and Validation of Extreme Scale Power-Law Graphs. IPDPS Workshops 2018: 279-286 - [c16]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
:
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. ISC Workshops 2018: 655-668 - [i20]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:
Design, Generation, and Validation of Extreme Scale Power-Law Graphs. CoRR abs/1803.01281 (2018) - [i19]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:
GraphChallenge.org: Raising the Bar on Graph Analytic Performance. CoRR abs/1805.09675 (2018) - [i18]Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi:
Sparse Deep Neural Network Exact Solutions. CoRR abs/1807.03165 (2018) - [i17]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:
Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis. CoRR abs/1807.07814 (2018) - [i16]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:
Measuring the Impact of Spectre and Meltdown. CoRR abs/1807.08703 (2018) - [i15]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:
Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer. CoRR abs/1808.04345 (2018) - [i14]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:
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. CoRR abs/1808.08353 (2018) - 2017
- [j6]Julia S. Mullen, Chansup Byun, Vijay Gadepally, Siddharth Samsi, Albert Reuther
, Jeremy Kepner:
Learning by doing, High Performance Computing education in the MOOC era. J. Parallel Distributed Comput. 105: 105-115 (2017) - [c15]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:
Benchmarking data analysis and machine learning applications on the Intel KNL many-core processor. HPEC 2017: 1-6 - [c14]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:
Performance measurements of supercomputing and cloud storage solutions. HPEC 2017: 1-5 - [c13]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:
Streaming graph challenge: Stochastic block partition. HPEC 2017: 1-12 - [c12]Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison:
D4M 3.0: Extended database and language capabilities. HPEC 2017: 1-6 - [c11]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:
MIT SuperCloud portal workspace: Enabling HPC web application deployment. HPEC 2017: 1-6 - [c10]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:
Static graph challenge: Subgraph isomorphism. HPEC 2017: 1-6 - [c9]Siddharth Samsi, Brian S. Helfer, Jeremy Kepner, Albert Reuther, Darrell O. Ricke:
A linear algebra approach to fast DNA mixture analysis using GPUs. HPEC 2017: 1-6 - [c8]Laura J. Brattain, Brian A. Telfer
, Siddharth Samsi, Taeyun Ku, Heejin Choi, Kwanghun Chung:
Automated dense neuronal fiber tracing and connectivity mapping at cellular level. ISBI 2017: 332-336 - [i13]Lauren Milechin, Alexander Chen, Vijay Gadepally, Dylan Hutchison, Siddharth Samsi, Jeremy Kepner:
D4M 3.0. CoRR abs/1702.03253 (2017) - [i12]Siddharth Samsi, Brian S. Helfer, Jeremy Kepner, Albert Reuther, Darrell O. Ricke:
A Linear Algebra Approach to Fast DNA Mixture Analysis Using GPUs. CoRR abs/1707.00516 (2017) - [i11]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:
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor. CoRR abs/1707.03515 (2017) - [i10]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:
MIT SuperCloud Portal Workspace: Enabling HPC Web Application Deployment. CoRR abs/1707.05900 (2017) - [i9]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:
Performance Measurements of Supercomputing and Cloud Storage Solutions. CoRR abs/1708.00544 (2017) - [i8]Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison:
D4M 3.0: Extended Database and Language Capabilities. CoRR abs/1708.02934 (2017) - [i7]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:
Static Graph Challenge: Subgraph Isomorphism. CoRR abs/1708.06866 (2017) - [i6]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:
Streaming Graph Challenge: Stochastic Block Partition. CoRR abs/1708.07883 (2017) - 2016
- [c7]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:
Scalability of VM provisioning systems. HPEC 2016: 1-5 - [c6]Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther:
Associative array model of SQL, NoSQL, and NewSQL databases. HPEC 2016: 1-9 - [c5]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:
Enhancing HPC security with a user-based firewall. HPEC 2016: 1-4 - [c4]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:
Benchmarking SciDB data import on HPC systems. HPEC 2016: 1-5 - [i5]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:
Scalability of VM Provisioning Systems. CoRR abs/1606.05794 (2016) - [i4]Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther:
Associative Array Model of SQL, NoSQL, and NewSQL Databases. CoRR abs/1606.05797 (2016) - [i3]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:
Enhancing HPC Security with a User-Based Firewall. CoRR abs/1607.02982 (2016) - [i2]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:
Benchmarking SciDB Data Import on HPC Systems. CoRR abs/1609.07545 (2016) - 2014
- [c3]Siddharth Samsi, Christophe Trefois
, Paul M. A. Antony, Alexander Skupin:
Automated nuclei clump splitting by combining local concavity orientation and graph partitioning. BHI 2014: 412-415 - [i1]Ashok K. Krishnamurthy, Siddharth Samsi, Vijay Gadepally:
Parallel MATLAB Techniques. CoRR abs/1407.2636 (2014) - 2012
- [j5]Siddharth Samsi, Ashok K. Krishnamurthy, Metin N. Gurcan
:
An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry. J. Comput. Sci. 3(5): 269-279 (2012) - 2011
- [j4]Kamel Belkacem-Boussaid, Siddharth Samsi, Gerard Lozanski, Metin N. Gurcan
:
Automatic detection of follicular regions in H&E images using iterative shape index. Comput. Medical Imaging Graph. 35(7-8): 592-602 (2011) - 2010
- [j3]Siddharth Samsi, Vijay Gadepally, Ashok Krishnamurthy:
MATLAB for Signal Processing on Multiprocessors and Multicores. IEEE Signal Process. Mag. 27(2): 40-49 (2010) - [j2]Siddharth Samsi, Gerard Lozanski, Arwa Shanaah, Ashok K. Krishnamurthy, Metin N. Gurcan
:
Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed. IEEE Trans. Biomed. Eng. 57(10): 2609-2612 (2010)
2000 – 2009
- 2009
- [j1]David E. Hudak, Neil Ludban, Ashok K. Krishnamurthy, Vijay Gadepally, Siddharth Samsi, John Nehrbass:
A Computational Science IDE for HPC Systems: Design and Applications. Int. J. Parallel Program. 37(1): 91-105 (2009) - 2008
- [c2]Prasad Calyam, Abdul Kalash, Neil Ludban, Sowmya Gopalan, Siddharth Samsi, Karen A. Tomko
, David E. Hudak, Ashok K. Krishnamurthy:
Experiences from Cyberinfrastructure Development for Multi-user Remote Instrumentation. eScience 2008: 293-300 - 2007
- [c1]Ashok K. Krishnamurthy, John Nehrbass, Juan Carlos Chaves, Siddharth Samsi:
Survey of Parallel MATLAB Techniques and Applications to Signal and Image Processing. ICASSP (4) 2007: 1181-1184
Coauthor Index
aka: Bill Arcand
aka: William Bergeron
aka: Timothy Davis
aka: Micheal Houle
aka: Julia S. Mullen
aka: Andy Prout
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