Kshitij Mehta

Publications

  • J. Logan et al., "A Vision for Managing Extreme-Scale Data Hoards," 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), Dallas, TX, USA, 2019, pp. 1806-1817, doi: 10.1109/ICDCS.2019.00179.
  • J. Y. Choi et al., "A Co-Design Study Of Fusion Whole Device Modeling Using Code Coupling," 2019 IEEE/ACM 5th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5), Denver, CO, USA, 2019, pp. 35-41, doi: 10.1109/DRBSD-549595.2019.00011.
  • J. Chen et al., "Understanding Performance-Quality Trade-offs in Scientific Visualization Workflows with Lossy Compression," 2019 IEEE/ACM 5th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5), Denver, CO, USA, 2019, pp. 1-7, doi: 10.1109/DRBSD-549595.2019.00006.
  • K. Mehta et al., "A Codesign Framework for Online Data Analysis and Reduction," 2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), Denver, CO, USA, 2019, pp. 11-20, doi: 10.1109/WORKS49585.2019.00007.
  • Logan, Jeremy, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress et al. "Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale." Data Engineering: 35.
  • S. Klasky et al., "A View from ORNL: Scientific Data Research Opportunities in the Big Data Age," 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), Vienna, 2018, pp. 1357-1368.

    doi: 10.1109/ICDCS.2018.00136

    keywords: {Big Data;parallel processing;scientific information systems;human-generated logs;large-data artifacts;enterprise space;HPC community;scientific community;ORNL;scientific Data research opportunities;Big Data age;computational science;Adaptable I/O System;Data visualization;Task analysis;Analytical models;Big Data;Data models;Computational modeling;Tomography;High Performance Computing;Publish/Subscribe;High Performance I/O;In Situ Visualization},