推测计算对组合优化问题的影响

Yasuki Iizuka, Akira Hamada, Yosuke Suzuki
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摘要

近年来,多核或多核处理器获得了极大的关注,因为它们能够在桌面计算机上实现高度并行的计算。然而,由于各种因素的影响,传统的并行处理方法往往不能轻易实现并行效果。在本研究中,我们评估了将基于multistart的推测并行计算应用于组合优化问题的效果。利用概率论,我们进行了理论验证,以确定投机计算是否比传统的并行计算方法更有效。此外,我们还进行了实验,并与传统并行处理的结果进行了比较。在本文中,我们报告了理论验证和实验结果,并表明推测计算比传统的并行处理更有效。
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The Effect of Speculative Computation on Combinatorial Optimization Problems
In recent years, multicore or many-core processors have gained significant attention as they enable computation with a large degree of parallelism on desktop computers. However, conventional parallel processing methods often cannot easily achieve parallel effects due to various factors. In this study, we evaluated the effect of applying MultiStartbased speculative parallel computation to combinatorial optimization problems. Using probability theory, we performed theoretical verification to determine whether speculative computation is more effective than conventional parallel computation methods. In addition, we conducted experiments and compared the result with those of conventional parallel processing. In this paper, we report the results of the theoretical verification and experiments, and we show that speculative computation is more effective than conventional parallel processing.
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