2010 International Conference on High Performance Computing &Amp; Simulation 2010
DOI: 10.1109/hpcs.2010.5547064
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Analytical modeling and evaluation of network-on-chip architectures

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Cited by 14 publications
(13 citation statements)
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“…Packet loss rate is negligible compared to others signifying lower channel contention problem. A comparison on required additional area has been calculated followed by a method proposed by Suboh et al in [6]. A 31% to 13% area overhead has been ob- served by varying N from 1 to 4 for proposed topology over 2D mesh of size 8 × 8.…”
Section: Simulation Results and Discussionmentioning
confidence: 99%
“…Packet loss rate is negligible compared to others signifying lower channel contention problem. A comparison on required additional area has been calculated followed by a method proposed by Suboh et al in [6]. A 31% to 13% area overhead has been ob- served by varying N from 1 to 4 for proposed topology over 2D mesh of size 8 × 8.…”
Section: Simulation Results and Discussionmentioning
confidence: 99%
“…In a different approach, authors of [7] introduced a low complexity analytic approach for the mean analysis of some performance metrics of NoCs. In 2010, Suboh et al proposed a Network Calculusbased methodology to evaluate the latency, throughput and cost metrics of a NoC-based architecture [8]. In 2012, Fischer and Fettweis presented accurate service estimation model for Round Robin arbiters used in Input-Queued NoC fabrics.…”
Section: Related Workmentioning
confidence: 99%
“…The NoC architecture can be viewed as a distributed system composed of autonomous nodes that communicate by exchanging messages through an on-chip interconnect 30 . The on-chip interconnect can be described as a graph OCI(V, E) whose nodes v ∈ V represent switches or cores and whose edges ∈ E represent the communication links between two neighboring nodes u and v. For each node v ∈ V , r v is the injection rate and for each link ∈ E, R denotes the guaranteed service rate or the link bandwidth.…”
Section: Network Calculus-based Modelmentioning
confidence: 99%