Research

Vijay's research is in Autonomous Vehicles/Maching Learning, Cloud Computing, Internet of Things, Big Data, High Performance Computing and Public Policy/Education in Science and Technology

Publication List:

Book Chapters and Journal Articles

Conference

  • "An Emerging Role for Polystores in Precision Medicine", Edmon Begoli, Edmon Begoli, J. Blair Christian, Daniel Jacobson, Vijay Gadepally, Stavros Papadopoulos, Invited paper to VLDB Workshop on Data Management and Analytics for Medicine, 2017 (accepted).
     
  • “BigDAWG Version 0.1”, Vijay Gadepally, Kyle O’Brien, Adam Dziedzic, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker, IEEE High Performance Extreme Computing (HPEC), 2017 (accepted).
     
  • [Best Student Paper Nominee] “Cloud-based Large-scale Brain Connectivity Analysis Using Accumulo and D4M”, Laura Brat- tain, Mihnea Bulugioiu, Adam Brewster, Mark Hernandez, Heejin Choi, Taeyun Ku, Kwanghun Chung, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC), 2017 (accepted).
     
  • “Database Engine Integration and Performance Analysis of the BigDAWG Polystore System”, Katherine Yu, Vijay Gadepally, Michael Stonebraker, IEEE High Performance Extreme Computing (HPEC), 2017 (accepted).
     
  • “Exploring big volume sensor data with Vroom”, Oscar Moll, Samuel Madden, Michael Stonebraker, Aaron Zalewski, Vijay Gadepally, Proceedings of the VLDB Endowment (demonstration), 2017 (accepted).
     
  • "Demonstrating the BigDAWG Polystore System for Ocean Metagenomic Analysis", Tim Mattson, Vijay Gadepally, Adam Dziedzic, Zuohao She, Jeff Parkhurst, Conference on Innovative Data Research (CIDR), 2017.
     
  • [Best Student Paper Nominee] "Cross-Engine Query Execution in Federated Database Systems", Ankush M. Gupta, Vijay Gadepally, Michael Stonebraker, IEEE High Performance Extreme Computing (HPEC) 2016.
     
  • "The BigDawg Monitoring Framework", Peinan Chen, Vijay Gadepally, Michael Stonebraker, IEEE High Performance Extreme Computing (HPEC), 2016.
     
  • "The BigDAWG Polystore System and Architecture", Vijay Gadepally, Peinan Chen (MIT), Jennie Duggan (Northwestern University), Aaron Elmore (University of Chicago), Brandon Haynes (University of Washington), Jeremy Kepner, Samuel Madden (MIT), Tim Mattson (Intel), Michael Stonebraker (MIT), IEEE High Performance Extreme Computing (HPEC), 2016.
     
  • "Associative Array Model of SQL, NoSQL, and NewSQL Databases", Jeremy Kepner, Vijay Gadepally (MIT), Dylan Hutchison (University of Washington), Hayden Jananthan (MIT), Timothy Mattson (Intel), Siddharth Samsi, Albert Reuther (MIT), IEEE High Performance Extreme Computing (HPEC), 2016.
     
  • "In-Storage Embedded Accelerator for Sparse Pattern Processing", Sang-Woo Jun, Huy T. Nguyen, Vijay Gadepally, Arvind, IEEE High Performance Extreme Computing (HPEC), 2016.

     

  • [Best Student Paper]" From NoSQL Accumulo to NewSQL Graphulo: Design and Utility of Graph Algorithms inside a BigTable Database", Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Bill Howe, IEEE High Performance Extreme Computing (HPEC), 2016.

     

  • [Best Paper] "Julia Implementation of the Dynamic Distributed Dimensional Data Model", Alexander Chen, Alan Edelman, Jeremy Kepner, Vijay Gadepally (MIT), Dylan Hutchison (University of Washington), IEEE High Performance Extreme Computing (HPEC), 2016.
     
  • "Benchmarking the Graphulo Processing Framework", Timothy Weale (Department of Defense), Vijay Gadepally (MIT), Dylan Hutchison (University of Washington), Jeremy Kepner (MIT), IEEE High Performance Extreme Computing (HPEC), 2016.
     
  • "High-throughput Ingest of Data Provenance Records into Accumulo", Thomas Moyer, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC), 2016.
     
  • [Best Paper nominee] "Benchmarking SciDB Data Import on HPC Systems", Siddharth Samsi, Laura Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner and Albert Reuther, IEEE High Performance Extreme Computing (HPEC), accepted.
     
  • "PageRank Pipeline Benchmark: Proposal for a Holistic System Benchmark for Big-Data Platforms", Patrick Dreher, Chansup Byun, Chris Hill, Vijay Gadepally, Bradley Kuszmaul, Jeremy Kepner,  IEEE International Parallel and Distributed Processing Society, 2016.
     
  • "Enforced Sparse Non-Negative Matrix Factorization", Brendan Gavin, Vijay Gadepally, Jeremy Kepner, IEEE International Parallel and Distributed Processing Society, 2016.
     
  • "The BigDAWG Architecture", Vijay Gadepally, Jennie Duggan, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker, New England Database Summit, 2016
     
  • "D4M and Large Array Databases for Management and Analysis of Large Biomedical Imaging Data", Siddharth Samsi, Laura Brattain, Vijay Gadepally and Jeremy Kepner, New England Database Summit, 2016
     
  • "Sampling Operations on Big Data", Vijay Gadepally, Taylor Herr, Luke Johnson, Lauren Milechin, Maja Milosavljevic, Benjamin Miller, Asilomar Signals, Systems and Computers Conference, 2015
     
  • "Percolation Model of insider threats to assess the optimum number of rules", Kepner, Jeremy, Vijay Gadepally, and Pete Michaleas,  Environment Systems and Decisions, 2015
     
  • "BigDAWG: A Polystore for Diverse Interactive Applications," Adam Dziedzic, Jennie Duggan, Aaron Elmore, Vijay Gadepally and Michael Stonebraker, IEEE Viz Data Systems for Interactive Analysis, 2015
     
  • "Building successful Open edX instructors from non-faculty domain experts", Julie Mullen, Lauren Edwards, Vijay Gadepally, Open EdX conference, 2015 
     
  • "A Demonstration of the BigDawg Polystore System", Aaron Elmore, Jennie Duggan, Michael Stonebraker, Magda Balazinska, Ugur Cetintemel, Vijay Gadepally, Jeff Heer, Bill Howe, Jeremy Kepner, Tim Kraska, et al., Proceedings of the VLDB Endowment, 2015
     
  • "Using a Power Law Distribution to Describe Big Data", Vijay Gadepally, Jeremy Kepner, IEEE High Performance Extreme Computing Conference (HPEC), 2015.
     
  • [Best Student Paper Nominee] "Improving Big Data Visual Analytics with Interactive Virtual Reality", Andrew Moran,Vijay Gadepally, Matthew Hubbell, Jeremy Kepner, IEEE High Performance Extreme Computing Conference (HPEC)
     
  • "D4M: Bringing Associative Arrays to Database Engines", Vijay Gadepally, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing Conference (HPEC) 
     
  • "Lustre, Hadoop, Accumulo", Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing Conference (HPEC) 
     
  • "Enabling On-Demand Database Computing with MIT SuperCloud Database Management System", Andrew Prout, Jeremy Kepner, Peter Michaleas, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing Conference (HPEC) 
     
  • "Parallel Vectorized Algebraic AES in MATLAB for Rapid Prototyping of Encrypted Sensor Processing Algorithms and Database Analytics", Jeremy Kepner, Vijay Gadepally, Braden Hancock, Peter Michaleas, Elizabeth Michel, Mayank Varia, IEEE High Performance Extreme Computing Conference (HPEC) 
     
  • "Big Data Strategies for Data Center Infrastructure Management Using a 3D Gaming Platform", Matthew Hubbell, Andrew Moran, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing Conference (HPEC) 
     
  • "Sampling Large Graphs for Anticipatory Analytics", Lauren Edwards, Luke Johnson, Maja Milosavljevic, Vijay Gadepally, Benjamin A. Miller, IEEE High Performance Extreme Computing Conference (HPEC) 
     
  • "Graphulo Implementation of Server-Side Sparse Matrix Multiply in the Accumulo Database", Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Adam Fuchs, IEEE High Performance Extreme Computing Conference (HPEC) [Best Student Paper Nominee]
     
  • "D4M and Apache Accumulo", Vijay Gadepally, Lauren Edwards, Jeremy Kepner, Dylan Hutchison, Accumulo Summit, April 2015
     
  • "Graphulo: A Graph Library for NoSQL Databases", Vijay Gadepally et al., IEEE International Parallel and Distributed Processing Symposium Workshops, May 2015
     
  • "Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs," Jeremy Kepner, Julian Chaidez, Vijay Gadepally, Hayden Jansen, New England Database Day, February 2015
     
  • "Computing on Masked Data for High Performance Veracity", Vijay Gadepally et. al., IEEE Technologies for Homeland Security (HST), 2015
     
  • "Big Data Dimensional Analysis" Vijay Gadepally and Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) 2014
     
  • "A Survey of Cryptographic Approaches to Securing Big-Data Analytics in the Cloud" Sophia Yakoubov, Vijay Gadepally, Nabil Schear, Emily Shen, Arkady Yerukhimovich, IEEE HPEC 2014
     
  • "Computing on Masked Data: a High Performance Method for Improving Big Data Veracity" Jeremy Kepner, Vijay Gadepally, Peter Michaleas, Nabil Schear, Mayank Varia, Arkady Yerukhimovich, Robert Cunningham,  IEEE HPEC 2014
     
  • "Using 3D printing to Visualize Social Media Big Data" Zachary Weber and Vijay Gadepally, IEEE HPEC 2014
     
  • "Achieving 100,000,000 database inserts per second using Accumulo and D4M" Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, IEEE HPEC 2014
     
  • "Adjacency Matrices, Incidence Matrices, Database Schemas, and Associative Arrays" Jeremy Kepner and Vijay Gadepally, Graph Algorithms Building Blocks Workshop, IEEE International Parallel and Distributed Processing Symposium, May 2014
     
  • "Computing on Masked Big Data" Jeremy Kepner, Vijay Gadepally, Peter Michaleas, Nabil Schear, Mayank Varia, New England Database Summit, January 2014
     
  • “The future of personal transportation” Vijay Gadepally, STIR Symposium, October 2011 (Invited)
     
  • “Driver Behavior Modeling/prediction” Vijay Gadepally, Arda Kurt, Umit Ozguner, Ashok Krishnamurthy, International Transportation Society Conference, October 2011
  • “Teaching CPS Design Issues at Different Levels starting with a Two-Week CPS Educational Program for Ohio High School Students” Vijay Gadepally, Ashok Krishnamurthy, Umit Ozguner, CPS Education Workshop, August 2010
  • “Improving All-to- All communication for parallel MATLAB” David E. Hudak, Neil Ludban, Vijay Gadepally, Ashok Krishnamurthy, Supercomputing (SC) 2007, November 2007
  • “Computational Science IDE for HPCMP Systems” David E. Hudak, Neil Ludban, Vijay Gadepally, Siddharth Samsi, JC Chaves, Ashok Krishnamurthy, HPCMP-UGC '07: Proceedings of the 2007 DoD High Performance Computing Modernization Program Users Group Conference, June 2007
  • “Developing a Computational Science IDE for HPC Systems” David E. Hudak, Neil Ludban, Vijay Gadepally, Ashok Krishnamurthy, Third International Workshop on Software Engineering for High Performance Computing Applications, May 2007
  • "Parallel MATLAB in Production Supercomputing with Applications in Signal and Image Processing” Ashok Krishnamurthy, David Hudak, John Nehrbass, Siddharth Samsi, Vijay Gadepally, SIAM Conference on Parallel Processing for Scientific Computing, March 2008
  • “bcMPI: HPC Computational Science IDE on Itanium” Dave Hudak, Neil Ludban, Jaya Natarajan, Vijay Gadepally, Siddharth Samsi, Ashok Krishnamurthy, Presented to Gelato, April 2007

Selected Technical Talks, Articles and Posters

  • "D4M 3.0", Northeast Database Day, 2017
     
  • "BigDAWG Release and Ocean Demonstration", Northeast Database Day, 2017
     
  • "Addressing Big Data Challenges through Innovative Architecture, Databases and Software"
    • Oak Ridge National Laboratory, 2016
    • The Ohio State University, 2016
    • University of Michigan, 2016
    • NC State, 2016
    • MIT LIDS, 2016
    • Smith University, 2015
       
  • "Graphulo: Graph Analytics in GraphBLAS"
    • Accumulo Summit 2016
    • Accumulo Summit 2015
    • Graph Exploitation Seminar 2015
       
  • "Challenges of IoT and Big Data,"
    • Keynote at IoT Summit 2016
       
  • "Graphulo: Graph Analytics in GraphBLAS," Talk at Graph Exploitation Symposium, 2015
     
  • "Advanced Database Technologies," IEEE Boston Course, April-May 2015
     
  • "Sifter: A Data Corpus Generator," Poster at New England Database Day, 2015
     
  • "Computing on Masked Data" Talk given at Advanced Research and Technology Symposium (ARTS), MIT Media Lab 2014
     
  • "SciDB - Manage and Analyze Terabytes of Array Data" Tutorial at Supercomputing (SC) 2014
     
  • "Novel Methods to Visualize and Interact with Big Data" Andrew Moran, Manuela Caicedo-Santiago, Zachary J. Weber, Matt Hubbell, Vijay Gadepally, Big Data at MIT Media Lab
     
  • "Computing on Masked Big Data", Vijay Gadepally, Seminar at MIT Lincoln Laboratory
     
  • "Advanced R&D to Support Big Data Analytics", Vijay Gadepally, Talk at Big Data Innovation Boston, September 2014
     
  • "Novel Methods to Visualize and Interact with Big Data" Andrew Moran, Manuela Caicedo-Santiago, Zachary J. Weber, Matt Hubbell, Vijay Gadepally, Poster at IEEE HPEC 2014
     
  • "Computing on Masked Big Data" Vijay Gadepally, Jeremy Kepner, Poster at Intel Big Data Retreat, August 2014
     
  • "MIMICViz: Enabling Visualization of Medical Big Data", Sherwin Wu, Vijay Gadepally, Andrew Whitaker, Jeremy Kepner, Bill Howe, Magdalena Balazinska, Sam Madden, Poster at Intel Big Data Retreat, August 2014
     
  • "Computing on Masked Data" Vijay Gadepally, Talk at Cyber and Netcentric Workshop, June 2014
     
  • "Addressing Big Data Challenges through Innovative Architecture, Databases and Software" Vijay Gadepally, Talk at Accumulo Summit, June 2014
     
  • "Addressing Big Data Challenges through Innovative Architecture, Databases and Software" Vijay Gadepally, Talk at TDWI Solutions Summit, March 2014
     
  • "Secure and Resilient Cloud Computing" Vijay Gadepally, Seminar given at MIT Lincoln Laboratory, February 2014
     
  • "Estimating Driver Behavior" Vijay Gadepally, Seminar given at MIT Lincoln Laboratory, December 2012
     
  • "Remote M-Language Services (RMS) For High Performance Computing", David Hudak, Vijay Gadepally, Neil Ludban, Siddharth Samsi, Ashok Krishnamurthy, Ohio Innovation Summit, 2010
     
  • “Policy questions in autonomous vehicle design – an analysis of what has been done and what needs to be done” Vijay Gadepally, Term Project for Public Policy 880.05
  • “Advancing Autonomous Vehicles” Kanad Sengupta, Vijay Gadepally, Poster presentation for Metro High School Capstone Project, March 2011
  • “Version Control with Subversion” Vijay Gadepally, Seminar given at Ohio Supercomputer Center in 2009 and 2010
  • “Cyber-Physical Systems and Driver Modeling” Vijay Gadepally, Seminar given at Ohio Supercomputer Center, September 2010
  • “GRAPE Parallelization” Vijay Gadepally, Siddharth Samsi, John Nehrbass, Ashok Krishnamurthy, Report for Army Research Laboratory, August 2008
  • “Survey of Parallel Extensions to Octave and Python” Vijay Gadepally, Report for Department of Defense High Performance Computing Modernization Program, March 2007 
     
  • "Production Deployment of Parallel MATLAB and Applications in Signal and Image Processing” Ashok Krishnamurthy, David Hudak, John Nehrbass, Siddharth Samsi, Vijay Gadepally, Microsoft HPC User Summit, 2008