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Provenance-based Workflow Diagnostics Using Program Specification

  • Yuta Nakamura
  • , Tanu Malik
  • , Iyad Kanj
  • , Ashish Gehani
  • DePaul University
  • SRI International

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics, HiPC 2022
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Pages292-301
Number of pages10
ISBN (Electronic)9781665494236
DOIs
StatePublished - 2022
Event29th Annual IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2022 - Bangalore, India
Duration: Dec 18 2022 → Dec 21 2022

Publication series

NameProceedings - 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics, HiPC 2022

Conference

Conference29th Annual IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2022
Country/TerritoryIndia
CityBangalore
Period12/18/22 → 12/21/22

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Control and Optimization

Keywords

  • debugging
  • provenance alignment
  • workflow management systems

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