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USFD: a unified storage framework for SOAR HPC scientific workflows

Published: 01 August 2012 Publication History

Abstract

USFD is a better support SOAR HPC scientific workloads through enhanced file I/O support and co-located storage and analysis. In this work, we analyse the performance of USFD and other traditional HPC approaches for SOAR scientific workloads. Our results show that SOAR workflows using USFD complete 7.5 times faster over other approaches with quantum chromodynamic workflows and 4 times faster with FLASH workflows.

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  • (2020)Approaches of enhancing interoperations among high performance computing and big data analytics via augmentationCluster Computing10.1007/s10586-019-02960-y23:2(953-988)Online publication date: 1-Jun-2020

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Published In

cover image International Journal of Parallel, Emergent and Distributed Systems
International Journal of Parallel, Emergent and Distributed Systems  Volume 27, Issue 4
August 2012
92 pages
ISSN:1744-5760
EISSN:1744-5779
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Taylor & Francis, Inc.

United States

Publication History

Published: 01 August 2012

Author Tags

  1. data-intensive computing
  2. scientific workflows
  3. storage systems for data-intensive computing

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Cited By

View all
  • (2020)Approaches of enhancing interoperations among high performance computing and big data analytics via augmentationCluster Computing10.1007/s10586-019-02960-y23:2(953-988)Online publication date: 1-Jun-2020

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