skip to main content

DOE PAGESDOE PAGES

This content will become publicly available on November 15, 2018

Title: Z-checker: A framework for assessing lossy compression of scientific data

Authors:
 [1] ;  [2] ;  [2] ;  [3] ;  [4]
  1. Department of Computer Science and Engineering, University of California, Riverside, CA, USA
  2. Division of Computer Science and Mathematics, Argonne National Laboratory, Lemont, IL, USA
  3. Department of Computer Science and Engineering, University of California, Riverside, CA, USA, Beijing University of Technology, Beijing, China
  4. Division of Computer Science and Mathematics, Argonne National Laboratory, Lemont, IL, USA, Parallel Computing Institute, University of Illinois Urbana–Champaign, Champaign, IL, USA
Publication Date:
Grant/Contract Number:
82707
Type:
Published Article
Journal Name:
International Journal of High Performance Computing Applications
Additional Journal Information:
Journal Name: International Journal of High Performance Computing Applications; Journal ID: ISSN 1094-3420
Publisher:
SAGE Publications
Sponsoring Org:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Country of Publication:
United States
Language:
English
OSTI Identifier:
1437773