Academic Journal

An Analysis of Distributed Computing Software and Hardware for Applications

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: An Analysis of Distributed Computing Software and Hardware for Applications
Συγγραφείς: P. D. Coddington
Συνεισφορές: The Pennsylvania State University CiteSeerX Archives
Πηγή: http://www.cs.adelaide.edu.au/~paulc/papers/sccs-421/sccs-421.pdf.
Έτος έκδοσης: 1993
Συλλογή: CiteSeerX
Περιγραφή: We have implemented a set of computational physics codes on a network of IBM RS/6000 workstations used as a distributed parallel computer. We compare the performance of the codes on this network, using both standard Ethernet connections and a fast prototype switch, and also on the nCUBE/2, a MIMD parallel computer. The algorithms used range from simple, local, and regular, to complex, non-local, and irregular. We describe our experiences with the hardware, software and parallel languages used, and discuss ideas for making distributed parallel computing on workstation networks more easily usable for computational physicists. 1
Τύπος εγγράφου: text
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.2870
Διαθεσιμότητα: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.2870
http://www.cs.adelaide.edu.au/~paulc/papers/sccs-421/sccs-421.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Αριθμός Καταχώρησης: edsbas.504C99D7
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  Data: We have implemented a set of computational physics codes on a network of IBM RS/6000 workstations used as a distributed parallel computer. We compare the performance of the codes on this network, using both standard Ethernet connections and a fast prototype switch, and also on the nCUBE/2, a MIMD parallel computer. The algorithms used range from simple, local, and regular, to complex, non-local, and irregular. We describe our experiences with the hardware, software and parallel languages used, and discuss ideas for making distributed parallel computing on workstation networks more easily usable for computational physicists. 1
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