Abstract
It is a great challenge to map network processing tasks to processing resources of advanced network processors, which are heterogeneous and multi-threading multiprocessor System-on-Chip. This paper proposes a novel scheduling algorithm, called Replication-based Partial Dynamic Scheduling (RPDS). It aims to improve the NP performance by combining the strategies of partial dynamic mapping and task replication with a 2-phase scheduling. RPDS differs from existing solutions in several aspects, e.g., the processing elements are heterogeneous, fully-connected, and multi-threading, the application is decomposed into directed acyclic graph tasks with continuous data-packets, and scheduling is conducted at both of initialization and run-time. Experimental results showed our algorithm could increase the largest average throughput by about 30% than those without dynamic phase replication.
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Yu, Z., Yang, Z., Zhang, F., Yu, Z., Zhang, T. (2007). Replication-Based Partial Dynamic Scheduling on Heterogeneous Network Processors. In: Xu, M., Zhan, Y., Cao, J., Liu, Y. (eds) Advanced Parallel Processing Technologies. APPT 2007. Lecture Notes in Computer Science, vol 4847. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76837-1_4
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DOI: https://doi.org/10.1007/978-3-540-76837-1_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76836-4
Online ISBN: 978-3-540-76837-1
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