Vijay Gadepally

Vijay Gadepally

Massachusetts Institute of Technology

H-index: 32

North America-United States

About Vijay Gadepally

Vijay Gadepally, With an exceptional h-index of 32 and a recent h-index of 26 (since 2020), a distinguished researcher at Massachusetts Institute of Technology,

His recent articles reflect a diverse array of research interests and contributions to the field:

Teaching Network Traffic Matrices in an Interactive Game Environment

Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference

Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28-September 1, 2023.

Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays

Lincoln AI Computing Survey (LAICS) Update

Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems

Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices

An Analysis of Energy Requirement for Computer Vision Algorithms

Vijay Gadepally Information

University

Position

___

Citations(all)

4197

Citations(since 2020)

2992

Cited By

2315

hIndex(all)

32

hIndex(since 2020)

26

i10Index(all)

88

i10Index(since 2020)

74

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Top articles of Vijay Gadepally

Title

Journal

Author(s)

Publication Date

Teaching Network Traffic Matrices in an Interactive Game Environment

arXiv preprint arXiv:2404.14643

Chasen Milner

Hayden Jananthan

Jeremy Kepner

Vijay Gadepally

Michael Jones

...

2024/4/23

Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference

arXiv preprint arXiv:2403.12900

Baolin Li

Yankai Jiang

Vijay Gadepally

Devesh Tiwari

2024/3/19

Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28-September 1, 2023.

Rajesh Bordawekar

Cinzia Cappiello

Vasilis Efthymiou

Lisa Ehrlinger

Vijay Gadepally

...

2023

Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays

Michael Jones

Jeremy Kepner

Andrew Prout

Timothy Davis

William Arcand

...

2023/9/25

Lincoln AI Computing Survey (LAICS) Update

Albert Reuther

Peter Michaleas

Michael Jones

Vijay Gadepally

Siddharth Samsi

...

2023/9/25

Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems

Baolin Li

Rohan Basu Roy

Daniel Wang

Siddharth Samsi

Vijay Gadepally

...

2023/11/12

Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices

Jeremy Kepner

Michael Jones

Phil Dykstra

Chansup Byun

Timothy Davis

...

2023/9/25

An Analysis of Energy Requirement for Computer Vision Algorithms

Daniel Edelman

Siddharth Samsi

Joseph McDonald

Adam Michaleas

Vijay Gadepally

2023/9/25

Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service

Baolin Li

Siddharth Samsi

Vijay Gadepally

Devesh Tiwari

2023/11/12

Kairos: Building cost-efficient machine learning inference systems with heterogeneous cloud resources

Baolin Li

Siddharth Samsi

Vijay Gadepally

Devesh Tiwari

2023/8/7

Mapping of Internet “Coastlines” via Large Scale Anonymized Network Source Correlations

Hayden Jananthan

Jeremy Kepner

Michael Jones

William Arcand

David Bestor

...

2023/9/25

Simple Data Architecture Best Practices for AI Readiness

Vijay Gadepally

Jeremy Kepner

2023/11/9

Sustainable hpc: Modeling, characterization, and implications of carbon footprint in modern hpc systems

arXiv preprint arXiv:2306.13177

Baolin Li

Siddharth Samsi

Vijay Gadepally

Devesh Tiwari

2023/6/22

From words to watts: Benchmarking the energy costs of large language model inference

Siddharth Samsi

Dan Zhao

Joseph McDonald

Baolin Li

Adam Michaleas

...

2023/9/25

Neural scaling of deep chemical models

Nature Machine Intelligence

Nathan C Frey

Ryan Soklaski

Simon Axelrod

Siddharth Samsi

Rafael Gomez-Bombarelli

...

2023/11

Green carbon footprint for model inference serving via exploiting mixed-quality models and gpu partitioning

arXiv preprint arXiv:2304.09781

Baolin Li

Siddharth Samsi

Vijay Gadepally

Devesh Tiwari

2023/4/19

pPython Performance Study

Chansup Byun

William Arcand

David Bestor

Bill Bergeron

Vijay Gadepally

...

2023/9/25

Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale

Dan Zhao

Siddharth Samsi

Joseph McDonald

Baolin Li

David Bestor

...

2023/10/30

SeeSaw: interactive ad-hoc search over image databases

Proceedings of the ACM on Management of Data

Oscar Moll

Manuel Favela

Samuel Madden

Vijay Gadepally

Michael Cafarella

2023/12/12

Hypersparse network flow analysis of packets with graphblas

Tyler Trigg

Chad Meiners

Sandeep Pisharody

Hayden Jananthan

Michael Jones

...

2022/9/19

See List of Professors in Vijay Gadepally University(Massachusetts Institute of Technology)