@inproceedings{837767db76fb4ae6a511de091e653ea6,
title = "Hardware-assisted decentralized resource management for networks on chip with QoS",
abstract = "Networks-on-Chip have shown their scalability for future many-core systems on chip. In real world scenarios, concurrent applications with different QoS requirements affect each other through overlapping communication. Therefore computation resources may not be efficiently utilized because the required communication resources are already occupied. Hence, an efficient resource management strategy is required that ensures fair sharing of communication resources between applications. Decentralized strategies provide better scalability in many-core systems. In this paper, we propose a hardware supported decentralized NoC resource management strategy. Our concept enables to define NoC regions through decentralized reconfigurable resource management policies. It offers improved performance and communication resource allocation within the regions. The proposed concept is investigated through simulation of real world application scenarios. The simulation results highlight the performance benefit within the region and the increased probability for successful reservation of communication resources. Implementation results show the low area overhead of the proposed hardware support.",
keywords = "Best Effort, Guaranteed Service, Networks-on-Chip, Policy, QoS, Quality of Service, Resource Management",
author = "Jan Hei{\ss}wolf and Aurang Zaib and Andreas Weichslgartner and Ralf K{\"o}nig and Thomas Wild and Jurgen Teich and Andreas Herkersdorf and J{\"u}rgen Becker",
year = "2012",
doi = "10.1109/IPDPSW.2012.25",
language = "English",
isbn = "9780769546766",
series = "Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012",
pages = "234--241",
booktitle = "Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012",
note = "2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012 ; Conference date: 21-05-2012 Through 25-05-2012",
}