The p-shovelers problem-computing with time-varying data

F. Luccio, L. Pagli
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引用次数: 20

Abstract

The authors consider problems whose size varies with time, and discuss the organization and analysis of algorithms for them. They prove that the benefits of a parallel solution may be greater than usual, they also prove that the standard lower and upper bounds on parallel speed-up do not hold in this case, and must be reformulated.<>
p-铲问题-时变数据的计算
作者考虑了大小随时间变化的问题,并讨论了这些问题的算法组织和分析。他们证明了并行解决方案的好处可能比通常情况下更大,他们还证明了并行加速的标准下界和上界在这种情况下不成立,必须重新制定
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