Distributed computing: Difference between revisions
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In [[computer science]], '''distributed computation''' refers to a strategy for improving the speed of highly [[parallel computation|parallelizable]] tasks by distributing pieces of the problem across many [[computers]] that together form a distributed computer. Unlike [[cluster (Computer Science)|clusters]], the computers in a distributed computer may be distributed over large [[networks]], and may be owned by many people or institutions. | In [[computer science]], '''distributed computation''' refers to a strategy for improving the speed of highly [[parallel computation|parallelizable]] tasks by distributing pieces of the problem across many [[computers]] that together form a distributed computer. Unlike [[cluster (Computer Science)|clusters]], the computers in a distributed computer may be distributed over large [[networks]], and may be owned by many people or institutions. | ||
Revision as of 18:19, 23 February 2007
In computer science, distributed computation refers to a strategy for improving the speed of highly parallelizable tasks by distributing pieces of the problem across many computers that together form a distributed computer. Unlike clusters, the computers in a distributed computer may be distributed over large networks, and may be owned by many people or institutions.
Network Topology
A distributed computer system generally employs one or more master computers, and very many worker computers. The master computer's role is to break the problem into a series of smaller problems (work loads) and to send these two participating workers. The workers then perform the work and send the results back to the master computer.
Famous Examples
- SETI@Home is perhaps the most famous example of distributed computation. It is comprised of more than one million computers, of varying architectures and platforms, and is dedicated to computing Fourier Transforms on data recieved from radio telescopes.