Abstract
This article presents the application of heuristic algorithms to solve the affinity scheduling problem in multicore computing systems. Affinity scheduling is a technique that allows efficient utilization of heterogeneous computing systems, by assigning a set of tasks to cores, taking into account specific efficiency and quality-of-service criteria. The heuristics proposed in this article are useful methods to solve realistic instances of the communication-aware affinity scheduling problem, which account for the different speed of communication and data transfer between tasks executing in different cores on a multicore system. The experimental analysis demonstrates that the proposed heuristics outperform the results computed using traditional scheduling techniques up to 12.3% when considering both the communication and synchronization times between tasks.
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Regueira, D., Iturriaga, S., Nesmachnow, S. (2017). Communication-Aware Affinity Scheduling Heuristics in Multicore Systems. In: Barrios Hernández, C., Gitler, I., Klapp, J. (eds) High Performance Computing. CARLA 2016. Communications in Computer and Information Science, vol 697. Springer, Cham. https://doi.org/10.1007/978-3-319-57972-6_3
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DOI: https://doi.org/10.1007/978-3-319-57972-6_3
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