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D-Index & Metrics

Computer Science

D-Index
31
Citations
5758
World Ranking
13450
National Ranking
5379

Overview

Norbert Podhorszki is affiliated with Oak Ridge National Laboratory in the United States. Their research is principally situated within the field of computer science, focusing notably on distributed and parallel computing systems, advanced data storage technologies, and scientific computing and data management.

The scientist's work covers a range of specialized topics including:

  • Distributed and Parallel Computing Systems
  • Advanced Data Storage Technologies
  • Scientific Computing and Data Management
  • Parallel Computing and Optimization Techniques
  • Algorithms and Data Compression
  • Magnetic Confinement Fusion Research
  • Seismic Imaging and Inversion Techniques

Podhorszki's subfields of study emphasize computer networks and communications, information systems and management, artificial intelligence, computer vision and pattern recognition, as well as hardware and architecture.

  • Computer Networks and Communications
  • Information Systems and Management
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

The scientist has published extensively, with recent papers including:

  • Global adjoint tomography-model GLAD-M25 (2020) in Geophysical Journal International
  • ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management (2020) in SoftwareX
  • A terminology for in situ visualization and analysis systems (2020) in The International Journal of High Performance Computing Applications
  • MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction (2021) in IEEE Transactions on Computers
  • Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization (2021) in IEEE Transactions on Parallel and Distributed Systems

Frequent co-authors collaborating with Podhorszki include:

  • Scott Klasky
  • Lipeng Wan
  • Jieyang Chen
  • David Pugmire

Podhorszki has contributed multiple publications to prominent venues such as:

  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • IEEE Transactions on Parallel and Distributed Systems
  • Geophysical Journal International
  • SoftwareX

Best Publications

  • Terascale direct numerical simulations of turbulent combustion using S3D

    J. H. Chen;A. Choudhary;B. De Supinski;M. Devries

  • Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS)

    Jay F. Lofstead;Scott Klasky;Karsten Schwan;Norbert Podhorszki

  • Global adjoint tomography: first-generation model

    Ebru Bozdağ;Daniel Peter;Matthieu Lefebvre;Dimitri Komatitsch

  • Special Issue: The First Provenance Challenge

    Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga

  • The First Provenance Challenge

    Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga

  • Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks

    Qing Liu;Jeremy Logan;Yuan Tian;Hasan Abbasi

  • PreDatA – preparatory data analytics on peta-scale machines

    Fang Zheng;Hasan Abbasi;Ciprian Docan;Jay Lofstead

  • R-GMA: An Information Integration System for Grid Monitoring

    Andrew W. Cooke;Alasdair J. G. Gray;Lisha Ma;Werner Nutt

  • ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management

    William F. Godoy;Norbert Podhorszki;Ruonan Wang;Chuck Atkins

  • The Relational Grid Monitoring Architecture: Mediating Information about the Grid

    Andrew W. Cooke;Alasdair J. G. Gray;Werner Nutt;James Magowan

  • Scientific Process Automation and Workflow Management

    Bertram Ludäscher;Ilkay Altintas;Shawn Bowers;Julian Cummings

  • Characterizing output bottlenecks in a supercomputer

    Bing Xie;Jeffrey Chase;David Dillow;Oleg Drokin

  • P-GRADE: a grid programming environment

    Péter Kacsuk;Gábor Dózsa;József Kovács;Róbert Lovas

  • Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform

    Fan Zhang;Ciprian Docan;Manish Parashar;Scott Klasky

  • Flexpath: type-based publish/subscribe system for large-scale science analytics

    Jai Dayal;Drew Bratcher;Greg Eisenhauer;Karsten Schwan

  • FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics

    Fang Zheng;Hongbo Zou;Greg Eisenhauer;Karsten Schwan

  • Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data

    Tao Lu;Qing Liu;Xubin He;Huizhang Luo

  • Examples of in transit visualization

    Kenneth Moreland;Ron Oldfield;Pat Marion;Sebastien Jourdain

  • EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization

    Yuan Tian;Scott Klasky;Hasan Abbasi;Jay Lofstead

  • Parallel in situ indexing for data-intensive computing

    Jinoh Kim;Hasan Abbasi;Luis Chacon;Ciprian Docan

  • Relational Grid monitoring architecture (R-GMA)

    Rob Byrom;Brian A. Coghlan;Andrew W. Cooke;Roney Cordenonsi

  • An Adaptable Seismic Data Format

    Lion Krischer;James Smith;Wenjie Lei;Matthieu Lefebvre

  • Scientific Data Analysis.

    Chandrika Kamath;Nikil Wale;George Karypis;Gaurav Pandey

Frequent Co-Authors

Scott Klasky
Scott Klasky Oak Ridge National Laboratory
Manish Parashar
Manish Parashar University of Utah
Péter Kacsuk
Péter Kacsuk MTA SZTAKI Laboratory of Parallel and Distributed Systems
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
Tahsin Kurc
Tahsin Kurc Stony Brook University
Mark Ainsworth
Mark Ainsworth Brown University
Jeroen Tromp
Jeroen Tromp Princeton University
Mladen A. Vouk
Mladen A. Vouk North Carolina State University
Arie Shoshani
Arie Shoshani Lawrence Berkeley National Laboratory
Cláudio T. Silva
Cláudio T. Silva New York University

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