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 鈥渇ittest鈥 task sequences鈥攖he computer equivalents of
chromosomes鈥攖o 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鈥攁nd sometimes
better鈥攖han DSH, a common non-genetic task-scheduling system.
More from 51动漫
Explore the latest news, articles and features
Physics
The once-impossible black holes that could break thermodynamics
Comment
Life
Darwin proved right about gnat-trapping carnivorous plant
News
Humans
We鈥檙e beginning to understand the sudden 鈥榞rief attacks鈥 that hit mourners
Features
Comment
The best new popular science books of August 2026
Culture
Popular articles
Trending 51动漫 articles