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Issue No.02 - March/April (2009 vol.11)
pp: 45-51
Enrico Vesperini , Drexel University
David M. Goldberg , Drexel University
Stephen L.W. McMillan , Drexel University
James Dura , Drexel University
Douglas Jones , Drexel University
The advent of affordable parallel computers such as Beowulf PC clusters and, more recently, multicore PCs has been highly beneficial for a large number of scientists and smaller institutions that might not otherwise have access to substantial computing facilities. However, there hasn't been an analogous progress in the development and dissemination of parallel software—scientists need the expertise to develop parallel codes and must invest a significant amount of time in the development of tools even for the most common data-analysis tasks. The authors describe the Beowulf Analysis Symbolic INterface (BASIN), a multiuser parallel data analysis and visualization framework. BASIN is aimed at providing scientists with a suite of parallel libraries for astrophysical data analysis along with general tools for data distribution and parallel operations on distributed data that lets them easily develop new parallel libraries for their specific tasks.
parallel computing, Boewulf clusters, interactive parallel data analysis, computational astrophysics
Enrico Vesperini, David M. Goldberg, Stephen L.W. McMillan, James Dura, Douglas Jones, "The Beowulf Analysis Symbolic INterface: Interactive Parallel Data Analysis for Everyone", Computing in Science & Engineering, vol.11, no. 2, pp. 45-51, March/April 2009, doi:10.1109/MCSE.2009.39
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