SciDB for high-performance array-structured science data at NERSC

Yushu Yao; Benjamin P. Bowen; Dalya Baron; Dovi Poznanski

doi:10.1109/MCSE.2015.43

SciDB for high-performance array-structured science data at NERSC

Yushu Yao, Benjamin P. Bowen, Dalya Baron, Dovi Poznanski

School of Physics and Astronomy

Lawrence Berkeley National Laboratory

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

NERSC's approach to dealing with large amounts of structured data involves using SciDB as a unified data management, analysis, and sharing framework. Two use cases and their basic operations describe how researchers analyze different workloads and scales.

Original language	English
Article number	7045417
Pages (from-to)	44-52
Number of pages	9
Journal	Computing in Science and Engineering
Volume	17
Issue number	3
DOIs	https://doi.org/10.1109/MCSE.2015.43
State	Published - 1 May 2015

Keywords

SciDB
Scientific database
data transfer
scientific computing
workload

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10.1109/MCSE.2015.43

Cite this

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abstract = "NERSC's approach to dealing with large amounts of structured data involves using SciDB as a unified data management, analysis, and sharing framework. Two use cases and their basic operations describe how researchers analyze different workloads and scales.",

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SciDB for high-performance array-structured science data at NERSC

Abstract

Keywords

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