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Computer Science

D-Index
31
Citations
3778
World Ranking
13714
National Ranking
5453

Research.com Recognitions

  • 2015 - ACM Distinguished Member

Overview

Rajesh Bordawekar is affiliated with IBM in the United States and has conducted research primarily in the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Information Systems, Computer Networks and Communications, Information Systems and Management, and Management Science and Operations Research.

The main topics of Rajesh Bordawekar's research include Bayesian Modeling and Causal Inference, Scientific Computing and Data Management, Research Data Management Practices, Data Quality and Management, Data Mining Algorithms and Applications, Complex Network Analysis Techniques, and Error Correcting Code Techniques.

The scientist has published a number of papers in various venues. Notable recent papers include:

  • Artifacts Availability & Reproducibility (VLDB 2021 Round Table), 2022, ACM SIGMOD Record
  • Unlocking New York City Crime Insights using Relational Database Embeddings, 2020, arXiv (Cornell University)
  • EFloat: Entropy-coded Floating Point Format for Compressing Vector Embedding Models, 2021, arXiv (Cornell University)
  • aiDM'22: Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2022, Proceedings of the 2022 International Conference on Management of Data
  • A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries, 2023, arXiv (Cornell University)

Frequent co-authors in their work include Apoorva Nitsure, Manos Athanassoulis, Peter Triantafillou, Raja Appuswamy, and Badrish Chandramouli.

The recurring publication venues for Rajesh Bordawekar include arXiv (Cornell University), ACM SIGMOD Record, and Proceedings of the 2022 International Conference on Management of Data.

In recognition of professional contributions, Rajesh Bordawekar was awarded the ACM Distinguished Member title in 2015.

Best Publications

  • Improved parallel I/O via a two-phase run-time access strategy

    Juan Miguel del Rosario;Rajesh Bordawekar;Alok Choudhary

  • Design and evaluation of primitives for parallel I/O

    R. Bordawekar;J. M. del Rosario;A. Choudhary

  • Passion: Optimized I/O for Parallel Applications

    Rajeev Thakur;Alok Choudhary;Rajesh Bordawekar;Rajesh Bordawekar;Sachin More

  • CellSort: high performance sorting on the cell processor

    Buǧra Gedik;Rajesh R. Bordawekar;Philip S. Yu

  • PASSION: Parallel And Scalable Software for Input-Output

    Alok Choudhary;Rajesh Bordawekar;Michael Harry;Rakesh Krishnaiyer

  • Optimizing Sparse Matrix-Vector Multiplication on GPUs using Compile-time and Run-time Strategies

    Manikandan Baskaran;Rajesh Bordawekar

  • PASSION Runtime Library for parallel I/O

    R. Thakur;R. Bordawekar;A. Choudhary;R. Ponnusamy

  • A model and compilation strategy for out-of-core data parallel programs

    Rajesh Bordawekar;Alok Choudhary;Ken Kennedy;Charles Koelbel

  • Quicksilver: a quasi-static compiler for Java

    Mauricio Serrano;Rajesh Bordawekar;Sam Midkiff;Manish Gupta

  • Exploiting prolific types for memory management and optimizations

    Yefim Shuf;Manish Gupta;Rajesh Bordawekar;Jaswinder Pal Singh

  • GPU programming in a high level language: compiling X10 to CUDA

    Dave Cunningham;Rajesh Bordawekar;Vijay Saraswat

  • Method, system and recording medium for maintaining the order of nodes in a heirarchical document

    Rajesh Bordawekar;Yi Chen;George A. Mihaila;Sriram Padmanabhan

  • Method for compiling program components in a mixed static and dynamic environment

    Rajesh Bordawekar;Manish Gupta;Samuel Pratt Midkiff;Mauricio J. Serrano

  • Methods and systems for analyzing XML documents

    Rajesh Bordawekar;Christian Lang

  • XJ: facilitating XML processing in Java

    Matthew Harren;Mukund Raghavachari;Oded Shmueli;Michael G. Burke

  • CellJoin: a parallel stream join operator for the cell processor

    Buğra Gedik;Rajesh R. Bordawekar;Philip S. Yu

  • Building a Java virtual machine for server applications: the Jvm on 0S/390

    D. Dillenberger;R. Bordawekar;C. W. Clark;D. Durand

  • Modeling optimistic concurrency using quantitative dependence analysis

    Christoph von Praun;Rajesh Bordawekar;Calin Cascaval

  • Long running, reusable, extendible, virtual machine

    Jeffrey D. Aman;Rajesh R. Bordawekar;Michael Wayne Brown;Donna Ngar-Ting Dillenberger

  • Single pass workload directed clustering of XML documents

    Rajesh Bordawekar;Sriram K. Padmanabhan;Oded Shmueli

Frequent Co-Authors

Alok Choudhary
Alok Choudhary Northwestern University
Rajeev Thakur
Rajeev Thakur Argonne National Laboratory
Vivek Sarkar
Vivek Sarkar Georgia Institute of Technology
Manish Gupta
Manish Gupta Google (United States)
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Bugra Gedik
Bugra Gedik Royal Caribbean Cruises (United States)
Mahmut Kandemir
Mahmut Kandemir Pennsylvania State University
J. Ramanujam
J. Ramanujam Louisiana State University
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Michael Wayne Brown
Michael Wayne Brown IBM (United States)

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