Timely tasks

A Japanese team has increased the speed of parallel computing by using a genetic algorithm to schedule processing tasks. Tatsuhiro Tsuchiya and colleagues at Osaka University have designed their evolutionary algorithm to allow only the “fittest” task sequences—the computer equivalents of chromosomes—to survive (Microprocessors and Microsystems, vol 22, p 197). The surviving sequences become the tasks executed by each processor node in an array. Using task duplication, so that the task can be executed as soon as a node is free, the algorithm performed as well as—and sometimes better—than DSH,
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