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

Tel Aviv University

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

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 GB
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

ASJC Scopus subject areas

General Computer Science
General Engineering

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10.1109/MCSE.2015.43

Cite this

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title = "SciDB for high-performance array-structured science data at NERSC",

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.",

keywords = "SciDB, Scientific database, data transfer, scientific computing, workload",

author = "Yushu Yao and Bowen, \{Benjamin P.\} and Dalya Baron and Dovi Poznanski",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.",

year = "2015",

month = may,

day = "1",

doi = "10.1109/MCSE.2015.43",

language = "الإنجليزيّة",

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issn = "1521-9615",

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AU - Yao, Yushu

AU - Bowen, Benjamin P.

AU - Baron, Dalya

AU - Poznanski, Dovi

PY - 2015/5/1

Y1 - 2015/5/1

N2 - 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.

AB - 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.

KW - SciDB

KW - Scientific database

KW - data transfer

KW - scientific computing

KW - workload

UR - https://www.scopus.com/pages/publications/84926301001

U2 - 10.1109/MCSE.2015.43

DO - 10.1109/MCSE.2015.43

M3 - مقالة

SN - 1521-9615

VL - 17

SP - 44

EP - 52

JO - Computing in Science and Engineering

JF - Computing in Science and Engineering

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M1 - 7045417

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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