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FPGA Task Arrangement with Genetic Algorithms

Scheuermann, Bernd
FPGA Task Arrangement with Genetic Algorithms
Inhaltsangabe:Abstract: Two evolutionary approaches of allocating tasks onto a Field-Programmable Gate Array (FPGA) are presented. Offline task arrangement: whenever a set of tasks has to be arranged onto an FPGA in practice, one is interested in arranging a maximum number of tasks which efficiently utilize the FPGA area. A genetic algorithm is proposed searching for an arrangement of tasks offline, i.e. before the tasks are physically place...

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