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The Beowulf Analysis Symbolic INterface: Interactive Parallel Data Analysis for Everyone
Journal article   Peer reviewed

The Beowulf Analysis Symbolic INterface: Interactive Parallel Data Analysis for Everyone

Enrico Vesperini, David M Goldberg, Stephen L.W McMillan, James Dura and Douglas Jones
Computing in science & engineering, v 11(2), pp 45-51
Mar 2009
DOI: https://doi.org/10.1109/MCSE.2009.39

Abstract

Boewulf clusters computational astrophysics Computer interfaces Concurrent computing Data analysis Data mining Engines interactive parallel data analysis Libraries Numerical simulation Packaging parallel computing User interfaces Visualization
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.

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Computer Science, Interdisciplinary Applications
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