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A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

Jiri Jaros, Petr Pospichal
The Australian National University, ANU College of Engineering and Computer Science, Canberra, ACT 0200, Australia
Applications of Evolutionary Computation, Lecture Notes in Computer Science, Volume 7248/2012, 426-435, 2012

@article{jaros2012fair,

   title={A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark},

   author={Jaros, J. and Pospichal, P.},

   journal={Applications of Evolutionary Computation},

   pages={426–435},

   year={2012},

   publisher={Springer}

}

The paper introduces an optimized multicore CPU implementation of the genetic algorithm and compares its performance with a fine-tuned GPU version. The main goal is to show the true performance relation between modern CPUs and GPUs and eradicate some of myths surrounding GPU performance. It is essential for the evolutionary community to provide the same conditions and designer effort to both implementations when benchmarking CPUs and GPUs. Here we show the performance comparison supported by architecture characteristics narrowing the performance gain of GPUs.
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