Collaborative scientific data visualization

Byeongseob Ki; Scott Klasky

doi:10.1002/(SICI)1096-9128(199711)9:11<1249::AID-CPE338>3.0.CO;2-K

Collaborative scientific data visualization

Byeongseob Ki, Scott Klasky

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

3 Scopus citations

Abstract

We have designed a collaborative scientific visualization package that will aid researchers from distant, diverse locations to work together in developing scientific codes, providing them with a system to analyze their scientific data. We have utilized Java to develop this infrastructure. Two important areas which we have concentrated on developing are (i) a collaborative framework from which the scientific data are interpreted and utilized, and (ii) a framework which is customizable to suit the needs of a particular task and/or scientific group.

Original language	English
Pages (from-to)	1249-1259
Number of pages	11
Journal	Concurrency Practice and Experience
Volume	9
Issue number	11
DOIs	https://doi.org/10.1002/(SICI)1096-9128(199711)9:11<1249::AID-CPE338>3.0.CO;2-K
State	Published - Nov 1997
Externally published	Yes

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10.1002/(SICI)1096-9128(199711)9:11<1249::AID-CPE338>3.0.CO;2-K

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title = "Collaborative scientific data visualization",

abstract = "We have designed a collaborative scientific visualization package that will aid researchers from distant, diverse locations to work together in developing scientific codes, providing them with a system to analyze their scientific data. We have utilized Java to develop this infrastructure. Two important areas which we have concentrated on developing are (i) a collaborative framework from which the scientific data are interpreted and utilized, and (ii) a framework which is customizable to suit the needs of a particular task and/or scientific group.",

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AB - We have designed a collaborative scientific visualization package that will aid researchers from distant, diverse locations to work together in developing scientific codes, providing them with a system to analyze their scientific data. We have utilized Java to develop this infrastructure. Two important areas which we have concentrated on developing are (i) a collaborative framework from which the scientific data are interpreted and utilized, and (ii) a framework which is customizable to suit the needs of a particular task and/or scientific group.

UR - https://www.scopus.com/pages/publications/0031276509

U2 - 10.1002/(SICI)1096-9128(199711)9:11<1249::AID-CPE338>3.0.CO;2-K

DO - 10.1002/(SICI)1096-9128(199711)9:11<1249::AID-CPE338>3.0.CO;2-K

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JO - Concurrency Practice and Experience

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ER -

Collaborative scientific data visualization

Abstract

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