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ORCIDVijay Gadepally
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- affiliation: Massachusetts Institute of Technology, MIT, Lincoln Laboratory, Lexington, MA, USA
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2020 – today
- 2024
[c132]Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
Sprout: Green Generative AI with Carbon-Efficient LLM Inference. EMNLP 2024: 21799-21813- [c131]Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining. IPDPS 2024: 337-349 - [c130]Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland:
Teaching Network Traffic Matrices in an Interactive Game Environment. IPDPS (Workshops) 2024: 459-467 - [c129]Chansup Byun
, Julie Mullen, Albert Iwersen Reuther, William Arcand, William Bergeron, David Bestor, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Peter Michaleas, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Lauren Milechin:
LLload: Simplifying Real-Time Job Monitoring for HPC Users. PEARC 2024: 65:1-65:4 - [i131]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) - [i130]Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference. CoRR abs/2403.12900 (2024) - [i129]Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland:
Teaching Network Traffic Matrices in an Interactive Game Environment. CoRR abs/2404.14643 (2024) - [i128]Chansup Byun, Julia Mullen, Albert Reuther, William Arcand, William Bergeron, David Bestor, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Peter Michaleas, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Lauren Milechin:
LLload: Simplifying Real-Time Job Monitoring for HPC Users. CoRR abs/2407.01481 (2024) - [i127]Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
LLM Inference Serving: Survey of Recent Advances and Opportunities. CoRR abs/2407.12391 (2024) - [i126]Jeremy Kepner, Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluç, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Peter Michaleas:
What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic. CoRR abs/2409.03111 (2024) - [i125]Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluç, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Jeremy Kepner:
Anonymized Network Sensing Graph Challenge. CoRR abs/2409.08115 (2024) - [i124]Andrew Prout, Albert Reuther, Michael Houle, Michael Jones, Peter Michaleas, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alex Bonn, Daniel Burrill, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Hayden Jananthan, Piotr Luszczek, Lauren Milechin, Guillermo Morales, Julie Mullen, Antonio Rosa, Charles Yee, Jeremy Kepner:
HPC with Enhanced User Separation. CoRR abs/2409.10770 (2024) - [i123]William Bergeron, Matthew Hubbell, Daniel Mojica, Albert Reuther, William Arcand, David Bestor, Daniel Burrill, Chansup Byun, Vijay Gadepally, Michael Houle, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Julie Mullen Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner:
Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring. CoRR abs/2410.00688 (2024) - [i122]Chansup Byun, Albert Reuther, Julie Mullen, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alex Bonn, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner:
LLload: An Easy-to-Use HPC Utilization Tool. CoRR abs/2410.21036 (2024) - [i121]Chansup Byun, Albert Reuther, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alex Bonn, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner:
GPU Sharing with Triples Mode. CoRR abs/2410.22254 (2024) - 2023
- [j14]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) - [j13]Oscar R. Moll, Manuel Favela, Samuel Madden, Vijay Gadepally, Michael J. Cafarella:
SeeSaw: Interactive Ad-hoc Search Over Image Databases. Proc. ACM Manag. Data 1(4): 260:1-260:26 (2023) - [c128]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 - [c127]Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources. HPDC 2023: 3-16 - [c126]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 - [c125]Daniel Edelman, Siddharth Samsi, Joseph McDonald, Adam Michaleas, Vijay Gadepally:
An Analysis of Energy Requirement for Computer Vision Algorithms. HPEC 2023: 1-7 - [c124]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 - [c123]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 - [c122]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 - [c121]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Lincoln AI Computing Survey (LAICS) Update. HPEC 2023: 1-7 - [c120]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 - [c119]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 - [c118]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 - [e6]Rajesh Bordawekar, Cinzia Cappiello, Vasilis Efthymiou, Lisa Ehrlinger, Vijay Gadepally, Sainyam Galhotra, Sandra Geisler, Sven Groppe, Le Gruenwald, Alon Y. Halevy, Hazar Harmouch, Oktie Hassanzadeh, Ihab F. Ilyas, Ernesto Jiménez-Ruiz, Sanjay Krishnan, Tirthankar Lahiri, Guoliang Li, Jiaheng Lu, Wolfgang Mauerer, Umar Farooq Minhas, Felix Naumann, M. Tamer Özsu, El Kindi Rezig, Kavitha Srinivas, Michael Stonebraker, Satyanarayana R. Valluri, Maria-Esther Vidal, Haixun Wang, Jiannan Wang, Yingjun Wu, Xun Xue, Mohamed Zaït, Kai Zeng:
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023. CEUR Workshop Proceedings 3462, CEUR-WS.org 2023 [contents] - [i120]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) - [i119]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) - [i118]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) - [i117]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) - [i116]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) - [i115]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) - [i114]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) - [i113]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) - [i112]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Lincoln AI Computing Survey (LAICS) Update. CoRR abs/2310.09145 (2023) - 2022
- [c117]El Kindi Rezig, Anshul Bhandari, Anna Fariha, Benjamin Price, Allan Vanterpool, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally:
Examples are All You Need: Iterative Data Discovery by Example in Data Lakes. CIDR 2022 - [c116]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 - [c115]Oscar R. Moll Thomae, Sam Madden, Vijay Gadepally:
Ad-hoc Searches on Image Databases. Poly/DMAH@VLDB 2022: 3-9 - [c114]Andrew Bowne, Lindsey McEvoy, Dhruv Gupta, Cameron Brown, Vijay Gadepally, El Kindi Rezig:
A Survey of Data Challenges Across a Modernizing Bureaucracy: A New Perspective on Examining Old Government Problems. Poly/DMAH@VLDB 2022: 10-23 - [c113]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 - [c112]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 - [c111]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 - [c110]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 - [c109]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 - [c108]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 - [c107]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 - [c106]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI and ML Accelerator Survey and Trends. HPEC 2022: 1-10 - [c105]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 - [c104]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 - [c103]Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska:
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. ICDE 2022: 2956-2968 - [c102]Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska:
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. ICDE 2022: 3065-3077 - [c101]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 - [c100]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 - [c99]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 - [c98]Baolin Li, Vijay Gadepally, Siddharth Samsi, Devesh Tiwari:
Characterizing Multi-Instance GPU for Machine Learning Workloads. IPDPS Workshops 2022: 724-731 - [c97]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 - [c96]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 - [c95]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 - [c94]Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Devesh Tiwari:
Mashup: making serverless computing useful for HPC workflows via hybrid execution. PPoPP 2022: 46-60 - [p3]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 - [p2]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 - [e5]El Kindi Rezig, Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Jun Kong, Gang Luo, Dejun Teng, Fusheng Wang:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2022 and DMAH 2022, Virtual Event, September 9, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13814, Springer 2022, ISBN 978-3-031-23904-5 [contents] - [i111]Jeremy Kepner, Jonathan Bernays, Stephen Buckley, Kenjiro Cho, Cary Conrad, Leslie Daigle, Keeley Erhardt, Vijay Gadepally, Barry Greene, Michael Jones, Robert Knake, Bruce M. Maggs, Peter Michaleas, Chad R. Meiners, Andrew Morris, Alex Pentland, Sandeep Pisharody, Sarah Powazek, Andrew Prout, Philip Reiner, Koichi Suzuki, Kenji Takahashi, Tony Tauber, Leah Walker, Doug Stetson:
Zero Botnets: An Observe-Pursue-Counter Approach. CoRR abs/2201.06068 (2022) - [i110]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) - [i109]Nathan C. Frey, Vijay Gadepally, Bharath Ramsundar:
FastFlows: Flow-Based Models for Molecular Graph Generation. CoRR abs/2201.12419 (2022) - [i108]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) - [i107]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) - [i106]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) - [i105]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) - [i104]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) - [i103]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) - [i102]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) - [i101]Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari:
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances. CoRR abs/2207.11434 (2022) - [i100]Oscar R. Moll, Manuel Favela, Samuel Madden, Vijay Gadepally:
SeeSaw: interactive ad-hoc search over image databases. CoRR abs/2208.06497 (2022) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI and ML Accelerator Survey and Trends. CoRR abs/2210.04055 (2022) - [i94]Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Building Heterogeneous Cloud System for Machine Learning Inference. CoRR abs/2210.05889 (2022) - 2021
- [j12]Matthew Hutchinson, Vijay Gadepally:
Video Action Understanding. IEEE Access 9: 134611-134637 (2021) - [j11]El Kindi Rezig, Anshul Bhandari, Anna Fariha, Benjamin Price, Allan Vanterpool, Vijay Gadepally, Michael Stonebraker:
DICE: Data Discovery by Example. Proc. VLDB Endow. 14(12): 2819-2822 (2021) - [j10]Athinagoras Skiadopoulos, Qian Li, Peter Kraft, Kostis Kaffes, Daniel Hong, Shana Mathew, David Bestor, Michael J. Cafarella, Vijay Gadepally, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Lalith Suresh, Matei Zaharia:
DBOS: A DBMS-oriented Operating System. Proc. VLDB Endow. 15(1): 21-30 (2021) - [c93]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 - [c92]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 - [c91]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 - [c90]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 - [c89]Baolin Li, Vijay Gadepally, Siddharth Samsi, Mark S. Veillette, Devesh Tiwari:
Serving Machine Learning Inference Using Heterogeneous Hardware. HPEC 2021: 1-8 - [c88]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 - [c87]