A generalized critical task anticipation technique for DAG scheduling

Authors:
Ching-Hsien Hsu;Chih-Wei Hsieh;Chao-Tung Yang
Affiliations:
Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan, R.O.C.;Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan, R.O.C.;High-Performance Computing Laboratory, Department of Computer Science and Information Engineering, Tunghai University, Taichung City, Taiwan, R.O.C.
Venue:
ICA3PP'07 Proceedings of the 7th international conference on Algorithms and architectures for parallel processing
Year:
2007

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Abstract

The problem of scheduling a weighted directed acyclic graph (DAG) representing an application to a set of heterogeneous processors to minimize the completion time has been recently studied. The NP-completeness of the problem has instigated researchers to propose different heuristic algorithms. In this paper, we present a Generalized Critical-task Anticipation (GCA) algorithm for DAG scheduling in heterogeneous computing environment. The GCA scheduling algorithm employs task prioritizing technique based on CA algorithm and introduces a new processor selection scheme by considering heterogeneous communication costs among processors for adapting grid and scalable computing. To evaluate the performance of the proposed technique, we have developed a simulator that contains a parametric graph generator for generating weighted directed acyclic graphs with various characteristics. We have implemented the GCA algorithm along with the CA and HEFT scheduling algorithms on the simulator. The GCA algorithm is shown to be effective in terms of speedup and low scheduling costs.