Component‐based, problem‐solving environments for large‐scale scientific computing
Concurrency and Computation Practice and ExperiencePublished 1 November 2002Open access
Chris R. Johnson, Steve Parker, David M. Weinstein, Sean Heffernan
Citations56
SJR quartileQ2
SJR score0.44
SNIP0.68
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TL;DR
An overview of the systems, describe their underlying software architectures, discuss implementation issues, and give examples of their use in computational science and engineering applications are given.
Abstract
Abstract In this paper we discuss three scientific computing problem solving environments: SCIRun, BioPSE, and Uintah. We begin with an overview of the systems, describe their underlying software architectures, discuss implementation issues, and give examples of their use in computational science and engineering applications. We conclude by discussing future research and development plans for the three problem solving environments. Copyright © 2002 John Wiley & Sons, Ltd.
Keywords
Computer ScienceDecision Sciences
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