Building a parallel computer system for $18,000 that performs a half peta-flop per day (1999)
| Venue: | In |
| Citations: | 18 - 0 self |
BibTeX
@INPROCEEDINGS{Iii99buildinga,
author = {Forrest H Bennett Iii and James Shipman},
title = {Building a parallel computer system for $18,000 that performs a half peta-flop per day},
booktitle = {In},
year = {1999},
pages = {13--17},
publisher = {Morgan Kaufmann}
}
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Abstract
Techniques of evolutionary computation generally require significant computational resources to solve non-trivial problems of interest. Increases in computing power can be realized either by using a faster computer or by parallelizing the application. Techniques of evolutionary computation are especially amenable to parallelization. This paper describes how to build a 10-node Beowulf-style parallel computer system for $18,000 that delivers about a half petaflop (10 15 floating-point operations) per day on runs of genetic programming. Each of the 10 nodes of the system contains a 533 MHz Alpha processor and runs with the Linux operating system. This amount of computational power is sufficient to yield solutions (within a couple of days per problem) to 14 published problems where genetic programming has produced results that are competitive with human-produced results. 1.
