Biography:

Vijay Gadepally is a Senior Scientist and Principal Investigator at the Massachusetts Institute of Technology (MIT) Lincoln Laboratory, a Visiting Scientist with MIT Connection Science, and works closely with the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). At Lincoln Laboratory, Vijay leads the research efforts of the Lincoln Laboratory Supercomputing Center. Vijay’s research interests include high performance computing, artificial intelligence, high performance databases and environmentally-friendly computing. Vijay is also the Chief Technology Officer of Radium Cloud – a company focused on providing high performance cloud computing for AI workloads – and advises multiple early-stage venture-backed startups.

Vijay holds a M.Sc. and PhD in Electrical and Computer Engineering from The Ohio State University and a B.Tech degree in Electrical Engineering from the Indian Institute of Technology, Kanpur.  Vijay’s research in high performance computing, artificial intelligence and environmentally-friendly computing has been featured in numerous articles in the popular press and has received numerous scholarly awards at various conferences.   Vijay also serves on several advisory committees including those convened by the National Academies, World Economic Forum, and Open Compute Project, amongst others. In 2017, Vijay was named to AFCEA’s inaugural 40 under 40 list and was awarded MIT Lincoln Laboratory’s Early Career Technical Achievement Award. In 2011, Vijay received an Outstanding Graduate Student Award at The Ohio State University.

Selected Honors and Awards:

• Outstanding Paper Award – LLM Inference Serving: Survey of Recent Advances and Opportunities, IEEE HPEC, 2024
• Outstanding Paper Award – Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring, IEEE HPEC, 2024
• Outstanding Student Paper Award – An Analysis of Energy Requirement for Computer Vision Algorithms, IEEE HPEC, 2023
• R&D 100 Award (finalist) – Green Computing Toolbox led by Vijay Gadepally is a finalist for the R&D 100 Award, 2023
• Best Paper Award – Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources, 32nd International Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC), 2023
• Outstanding Paper – Benchmarking Resource Usage for Efficient Distributed Deep Learning, IEEE High Performance Extreme Computing Conference
• Outstanding Student Paper Award – Serving Machine Learning Inference Using Heterogeneous Hardware, IEEE HPEC, 2021
• Outstanding Paper Award – Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid, IEEE HPEC, 2020
• Outstanding Student Paper Award – A Survey of Attacks and Defenses of Edge-Deployed Neural Networks, IEEE HPEC, 2019
• Elevated to IEEE Senior Member, 2019
• Outstanding Paper Award – Measuring the Impact of Spectre and Meltdown, IEEE HPEC, 2018
• Named to AFCEA  “40 Under 40 List“, AFCEA International, 2017
• R&D 100 Award Finalist – BigDAWG Polystore System led by Vijay Gadepally is a finalist for the R&D100 Award, 2017
• Early Career Technical Excellence Award – MIT Lincoln Laboratory, 2017
• Outstanding Student Paper Award – Cloud-based Large-scale Brain Connectivity Analysis Using Accumulo and D4M, IEEE HPEC, 2017
• Outstanding Student Paper Award – Cross-Engine Query Execution in Federated Database Systems, IEEE HPEC, 2016
• Best Paper Award – Julia Implementation of the Dynamic Distributed Dimensional Data Model, IEEE HPEC, 2016
• Outstanding Student Paper Award – From NoSQL Accumulo to NewSQL Graphulo: Design and Utility of Graph Algorithms inside a BigTable Database, IEEE HPEC, 2016
• Best Paper Award (finalist) – Benchmarking SciDB Data Import on HPC Systems, IEEE HPEC, 2016
• Outstanding Student Paper Award (finalist) – Improving Big Data Visual Analytics with Interactive Virtual Reality, IEEE HPEC, 2015
• Outstanding Graduate Student Award – The Ohio State University, 2011