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Many applications are what is called (essentially) embarrassingly or more kindly pleasingly parallel
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These are made up of independent concurrent components
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Each client independently accesses a Web Server
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Each roll of a Monte Carlo dice (random number) is an independent sample
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Each stock can be priced separately in a financial portfolio
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Each transaction in a database is almost independent (a given account is locked but usually different accounts are accessed at same time)
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Different parts of Seismic data can be processed independently
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In contrast points in a finite difference grid (from a differential equation) canNOT be updated independently
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Such problems are often formally data-parallel but can be handled much more easily -- like functional parallelism
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