Title :
The Beowulf Analysis Symbolic INterface: Interactive Parallel Data Analysis for Everyone
Author :
Vesperini, Enrico ; Goldberg, David M. ; McMillan, Stephen L W ; Dura, James ; Jones, Douglas
Author_Institution :
Drexel Univ., Philadelphia, PA
Abstract :
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.
Keywords :
astronomy computing; data analysis; data visualisation; multiprogramming; parallel programming; user interfaces; BASIN; Beowulf PC clusters; Beowulf analysis symbolic interface; astrophysical data analysis; computing facility; data distribution; data visualization framework; distributed data; interactive parallel data analysis; multicore PC; multiuser parallel data analysis; parallel codes; parallel computers; parallel library; parallel software; Computer interfaces; Concurrent computing; Data analysis; Data mining; Engines; Libraries; Numerical simulation; Packaging; User interfaces; Visualization; Boewulf clusters; computational astrophysics; interactive parallel data analysis; parallel computing;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2009.39