IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility-Reference-Cited by-同舟云学术

IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility

Author:

Niddodi Chaitra¹^ORCID,Gehani Ashish²^ORCID,Malik Tanu³,Mohan Sibin⁴,Rilee Michael Lee⁵

Affiliation:

1. Department of Computer Science, University of Illinois at Urbana–Champaign, Champaign, IL, USA

2. SRI International, Menlo Park, CA, USA

3. School of Computing, DePaul University, Chicago, IL, USA

4. Department of Computer Science, The George Washington University, Washington, DC, USA

5. Rilee Systems Technologies LLC, Herndon, VA, USA

Funder

National Science Foundation

Office of Naval Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

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