NEJul 29, 2014
A CUDA-Based Real Parameter Optimization Benchmark
arXiv:1407.7737v13 citations
Originality Synthesis-oriented
AI Analysis
This work provides a faster benchmarking tool for researchers in optimization, but it is incremental as it adapts existing methods to new hardware.
The authors tackled the need for faster benchmarking of optimization algorithms by introducing cuROB, a CUDA-based real parameter optimization benchmark, achieving a speedup of one order of magnitude compared to a CPU-based benchmark.
Benchmarking is key for developing and comparing optimization algorithms. In this paper, a CUDA-based real parameter optimization benchmark (cuROB) is introduced. Test functions of diverse properties are included within cuROB and implemented efficiently with CUDA. Speedup of one order of magnitude can be achieved in comparison with CPU-based benchmark of CEC'14.