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Han Lin, Ming-Fan Li, Cheng-Fan Jia, Jun-Nan Liu, Hong An. Degree-of-Node Task Scheduling of Fine-Grained Parallel Programs on Heterogeneous Systems[J]. Journal of Computer Science and Technology, 2019, 34(5): 1096-1108. DOI: 10.1007/s11390-019-1962-4
Citation: Han Lin, Ming-Fan Li, Cheng-Fan Jia, Jun-Nan Liu, Hong An. Degree-of-Node Task Scheduling of Fine-Grained Parallel Programs on Heterogeneous Systems[J]. Journal of Computer Science and Technology, 2019, 34(5): 1096-1108. DOI: 10.1007/s11390-019-1962-4

Degree-of-Node Task Scheduling of Fine-Grained Parallel Programs on Heterogeneous Systems

  • Processor specialization has become the development trend of modern processor industry. It is quite possible that this will still be the main-stream in the next decades of semiconductor era. As the diversity of heterogeneous systems grows, organizing computation efficiently on systems with multiple kinds of heterogeneous processors is a challenging problem and will be a normality. In this paper, we analyze some state-of-the-art task scheduling algorithms of heterogeneous computing systems and propose a Degree of Node First (DONF) algorithm for task scheduling of fine-grained parallel programs on heterogeneous systems. The major innovations of DONF include:1) simplifying task priority calculation for directed acyclic graph (DAG) based fine-grained parallel programs which not only reduces the complexity of task selection but also enables the algorithm to solve the scheduling problem for dynamic DAGs; 2) building a novel communication model in the processor selection phase that makes the task scheduling much more efficient. They are achieved by exploring finegrained parallelism via a dataflow program execution model, and validated through experimental results with a selected set of benchmarks. The results on synthesized and real-world application DAGs show a very good performance. The proposed DONF algorithm significantly outperforms all the evaluated state-of-the-art heuristic algorithms in terms of scheduling length ratio (SLR) and efficiency.
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