Addressing the petascale data challenge using in-situ analytics

Manish Parashar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Data management, processing and analysis costs are quickly dominating computational and data-enabled sciences, and are limiting the potential impacts of advanced simulations running at extreme scales on the high-end computing systems. This presentation explores how in-situ data analytics and in-transit data transformation and data manipulation can be used to address these data challenges at petascale and beyond. Specifically, this presentations describes solutions developed as part of the Rutgers Spaces Project 1 and deployed within the ADIOS framework.

Original languageEnglish (US)
Title of host publicationPDAC'11 - Proceedings of the 2011 International Workshop on Petascal Data Analytics
Subtitle of host publicationChallenges and Opportunities, Co-located with SC'11
Pages35-36
Number of pages2
DOIs
StatePublished - 2011
Event2011 2nd International Workshop on Petascal Data Analytics: Challenges and Opportunities, Held in Cooperation with the IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis, SC'11 - Seattle, WA, United States
Duration: Nov 14 2011Nov 14 2011

Publication series

NamePDAC'11 - Proceedings of the 2011 International Workshop on Petascal Data Analytics: Challenges and Opportunities, Co-located with SC'11

Other

Other2011 2nd International Workshop on Petascal Data Analytics: Challenges and Opportunities, Held in Cooperation with the IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis, SC'11
Country/TerritoryUnited States
CitySeattle, WA
Period11/14/1111/14/11

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

Keywords

  • ADIOS
  • ActiveSpaces
  • DataSpaces
  • Dynamic code deployment
  • In-situ data analytics
  • In-transit data processing

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