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Research Article · Free to read · Published 31 October 2006

Study of Network on Chip resources allocation for QoS Management

Abdelhamid HELALI, Adel SOUDANI, Jamila BHAR & Salem NASRI

Journal of Computer Science, Volume 2, Issue 10, pp. 770–774 · doi.org/10.3844/jcssp.2006.770.774

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Abstract

The increasing complexity of integrated circuits and application requirements drive the research of new on-chip interconnection architectures. A network on chip draws on concepts inherited from distributed systems and computer networks subject areas to interconnect IP cores in a structured and scalable way. The main goal pursued is to achieve superior bandwidth when compared to conventional on-chip bus architectures. The complexity of Systems-on-Chip (SoC) is growing; meeting real-time requirements is becoming increasingly difficult. Predictability for computation, memory and communication components are needed to build up real-time SoC. To achieve guaranteed throughput and bounded delivery delay, buffers in network interfaces (NIs) must be dimensioned to hide round-trip latency and rate difference between computation and IPs communication.. It is crucial to shape these buffers according to the network requirements and to bring out the right specification before the design step to provide desired performances in the SoC. In this field this paper describes and presents a performance analyses of NoC shaped on mesh architecture. The goal of this work is to quantify buffering requirements in the NoC nodes by the analyze of some QoS metrics such as drop, compute latency, and throughput. This study presented in this paper is based on simulation approach of a mesh (4 x 4 ) NoC behavior under multimedia communication process with MPEG-4 (Moving Picture Experts Group) flows.

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HELALI, A., SOUDANI, A., BHAR, J. & NASRI, S. (2006). Study of Network on Chip resources allocation for QoS Management . Journal of Computer Science, 2(10), 770–774. https://doi.org/10.3844/jcssp.2006.770.774

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Study of Network on Chip resources allocation for QoS ManagementJournal of Computer Science · Volume 2, Issue 10 · pp. 770–774 · © Science PublicationsDownload