Evaluating Dynamic Task Scheduling with Priorities and Adaptive Aging in a Task-Based Runtime System-Reference-Cited by-同舟云学术

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Evaluating Dynamic Task Scheduling with Priorities and Adaptive Aging in a Task-Based Runtime System

Published:2020 Issue: Volume: Page:17-31
ISSN:0302-9743
Container-title:Architecture of Computing Systems – ARCS 2020
language:
Short-container-title:

Author:

Becker Thomas,Schüle Tobias

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-52794-5_2

Reference24 articles.

1. Armstrong, R., Hensgen, D., Kidd, T.: The relative performance of various mapping algorithms is independent of sizable variances in run-time predictions. In: Seventh Proceedings of the Heterogeneous Computing Workshop (HCW 1998), pp. 79–87, March 1998. https://doi.org/10.1109/HCW.1998.666547

2. Lecture Notes in Computer Science;T Becker,2019

3. Bramas, B.: Impact study of data locality on task-based applications through the Heteroprio scheduler. PeerJ Comput. Sci. 5, e190 (2019). https://doi.org/10.7717/peerj-cs.190 . https://hal.inria.fr/hal-02120736

4. Che, S., et al..: Rodinia: a benchmark suite for heterogeneous computing. In: Proceedings of the 2009 IEEE International Symposium on Workload Characterization (IISWC), IISWC 2009, pp. 44–54. IEEE Computer Society, Washington, DC (2009). https://doi.org/10.1109/IISWC.2009.5306797

5. Davis, R.I., Burns, A.: A survey of hard real-time scheduling for multiprocessor systems. ACM Comput. Surv. 43(4), 1–44 (2011). https://doi.org/10.1145/1978802.1978814

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1. An Extensive Analysis of Task Scheduling Algorithms Based on Fog Computing Qos Metrics;2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2022-07-15

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