在内存中使用并行性的快速排序

C. Leopold
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引用次数: 2

摘要

作者通过树来建模内存的内部结构,其中节点表示内存模块(如缓存、磁盘),边表示它们之间的总线。模块越靠近根,其访问时间、容量和块大小就越小。所有总线都可以并行传输数据块。给出了一种基于贪婪排序的确定性排序算法。它的运行时间被证明是最优的,直到一个常数因子。该边界表示在每个层次结构级别上克服排序的I/O瓶颈所需的并行模块的数量。提出的算法也适用于不太通用的模型UMH(统一内存层次结构)和P-UMH。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fast sort using parallelism within memory
The author models the internal structure of memory by a tree, where nodes represent memory modules (like cache, disks), and edges represent buses between them. The modules have smaller access time, capacity, and block size the nearer they are to the root. All buses may transmit blocks of data in parallel. The author gives a deterministic sorting algorithm based on greed-sort. Its running time is shown to be optimal up to a constant factor. The bound implies the number of parallel modules necessary at each hierarchy level to overcome the I/O bottlenecks of sorting. The proposed algorithm also applies to the less general models UMH (uniform memory hierarchies) and P-UMH.<>
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