A scalable task duplication based scheduling algorithm for heterogeneous systems

被引：26

作者：

Ranaweera, S ^{[1
]}

Agrawal, DP ^{[1
]}

机构：

[1] Univ Cincinnati, Ctr Distributed & Mobile Comp, ECECS Dept, Cincinnati, OH 45221 USA

来源：

2000 INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, PROCEEDINGS | 2000年

关键词：

D O I：

10.1109/ICPP.2000.876154

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Optimal scheduling of tasks represented by a directed acyclic graph (DAC) onto a set of homogeneous processors, is a strong NP-hard problem. in this paper we introduce a scalable scheduling scheme called STDS for heterogeneous systems. This implies that tasks could potentially have different nt run times on different processors. The complexity of STDS is O(nu(2)) where nu is the number of nodes in the task graph. Schedule length is primarily reduced by selected task duplication. Current task duplication based scheduling schemes are mostly done for homogeneous systems. Comparing the performance of STDS with BIL, another scheduling scheme for heterogeneous systems, it is observed that STDS obtained speed-ups of 6 to 40 generating shorter schedules when sufficient duplication can be carried out.

引用

页码：383 / 390

页数：8

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