Award Abstract #0079739
MRI: Acquisition and Analysis of a Multidisciplinary Beowulf Cluster

NSF Org:	CNS Division of Computer and Network Systems
Initial Amendment Date:	August 11, 2000
Latest Amendment Date:	August 11, 2000
Award Number:	0079739
Award Instrument:	Standard Grant
Program Manager:	Rita V. Rodriguez CNS Division of Computer and Network Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	September 1, 2000
Expires:	August 31, 2003 (Estimated)
Awarded Amount to Date:	$163543
Investigator(s):	Joel Adams adams@calvin.edu (Principal Investigator) Roger DeKock (Co-Principal Investigator) Stanley Haan (Co-Principal Investigator) Randall Brouwer (Co-Principal Investigator) Steven Vander Leest (Co-Principal Investigator)
Sponsor:	Calvin College 3201 BURTON ST SE GRAND RAPIDS, MI 49546 616/526-6000
NSF Program(s):	MAJOR RESEARCH INSTRUMENTATION
Field Application(s):	0000099 Other Applications NEC
Program Reference Code(s):	HPCC, 9218, 1189
Program Element Code(s):	1189

ABSTRACT

EIA-0079739

Adams, Joel C.

Calvin College

MRI: Acquisition and Analysis of a Multidisciplinary Beowulf Cluster

It is proposed to design, acquire, build, and test a ``Beowulf cluster`` multiprocessor that will provide a high performance computing environment for multidisciplinary scientific research and research training at Calvin College. The objective is to determine what cluster design is best suited for research projects in multiple disciplines. More precisely, it is proposed to spend three years studying the performance of three common cluster topologies on different kinds of research problems. The aim of the study is to identify the cluster topologies that are best suited for particular kinds of problems, as well as identify what topology provides the best overall performance for multidisciplinary research machine.

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