1 research outputs found
Representation of Evolutionary Algorithms in FPGA Cluster for Project of Large-Scale Networks
Many problems are related to network projects, such as electric distribution,
telecommunication and others. Most of them can be represented by graphs, which
manipulate thousands or millions of nodes, becoming almost an impossible task
to obtain real-time solutions. Many efficient solutions use Evolutionary
Algorithms (EA), where researches show that performance of EAs can be
substantially raised by using an appropriate representation, such as the
Node-Depth Encoding (NDE). The objective of this work was to partition an
implementation on single-FPGA (Field-Programmable Gate Array) based on NDE from
512 nodes to a multi-FPGAs approach, expanding the system to 4096 nodes.Comment: Preprint of a short paper published in the proceedings of ERAD-SP
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