简要公告:近似一次红蓝卵石的I/O复杂性

Timothy Carpenter, F. Rastello, P. Sadayappan, Anastasios Sidiropoulos
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引用次数: 6

摘要

红蓝卵石是一种计算模型,它捕捉具有外部内存访问的系统中I/O操作的复杂性。我们专注于一次性卵石策略,即不需要重新计算。该模型之前的工作主要集中在寻找某些图族的I/O复杂度的上限和下限。对于出度有界的图,给出了一个多项式时间双准则逼近算法。更准确地说,给定一个n顶点DAG,该DAG允许使用R个红鹅卵石和I/O复杂度选择的鹅卵石策略,我们的算法使用O(R⋅log3/ 2n)个红鹅卵石和O(opt⋅log3/ 2n)的I/O复杂度输出策略。我们进一步将我们的结果扩展到对应于多层次内存层次的红蓝鹅卵石游戏的泛化。最后,我们用红蓝卵石算法的实验评估来补充我们的理论分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brief Announcement: Approximating the I/O Complexity of One-Shot Red-Blue Pebbling
Red-blue pebbling is a model of computation that captures the complexity of I/O operations in systems with external memory access. We focus on one-shot pebbling strategies, that is without re-computation. Prior work on this model has focused on finding upper and lower bounds on the I/O complexity of certain families of graphs. We give a polynomial-time bi-criteria approximation algorithm for this problem for graphs with bounded out-degree. More precisely, given a n-vertex DAG that admits a pebbling strategy with R red pebbles and I/O complexity opt, our algorithm outputs a strategy using O(R ⋅ log3/2 n) red pebbles, and I/O complexity O(opt ⋅ log3/2 n). We further extend our result to the generalization of red-blue pebble games that correspond to multi-level memory hierarchies. Finally, we complement our theoretical analysis with an experimental evaluation of our algorithm for red-blue pebbling.
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