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- W2041805565 abstract "This paper introduces a novel implementation of the genetic algorithm exploiting a multi-GPU cluster. The proposed implementation employs an island-based genetic algorithm where every GPU evolves a single island. The individuals are processed by CUDA warps, which enables the solution of large knapsack instances and eliminates undesirable thread divergence. The MPI interface is used to exchange genetic material among isolated islands and collect statistical data. The characteristics of the proposed GAs are investigated on a two-node cluster composed of 14 Fermi GPUs and 4 six-core Intel Xeon processors. The overall GPU performance of the proposed GA reaches 5.67 TFLOPS." @default.
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- W2041805565 date "2012-06-01" @default.
- W2041805565 modified "2023-10-06" @default.
- W2041805565 title "Multi-GPU island-based genetic algorithm for solving the knapsack problem" @default.
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- W2041805565 doi "https://doi.org/10.1109/cec.2012.6256131" @default.
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