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Big Data Staging with MPI-IO for Interactive X-ray Science

arXiv (Cornell University)(2020)10.48550/arxiv.2002.06258Source: DataRank Database

Big Data Staging with MPI-IO for Interactive X-ray Science is a research paper published in arXiv (Cornell University) (2020). On theSindex it has a DataRank of 0.

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0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Topics (7)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Hemant Sharma ORCID,Timothy G. Armstrong,Michael Wilde,Jonathan Almer ORCID,Ian Foster ORCID

Live enrichment

National Institutes of Health

Grant: 1S10RR029030-01

Beagle: A Supercomputer for Computational Biology, Simulation, and Data Analysis

National Science Foundation

Grant: 1148443

SI2-SSE: Enhancement and Support of Swift Parallel Scripting

National Science Foundation

Grant: 1238993

Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering

Fields of Study

Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciences0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

FOS: Computer and information sciencesComputer Science - Distributed, Parallel, and Cluster ComputingDistributed, Parallel, and Cluster Computing (cs.DC)

Sustainable Development Goals

SDG 3: 3. Good health