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Networks-on-chip (NoCs) have been proposed as a viable solution to solving the communication problem in multicore systems. In this new setup, mapping multiple applications on available computational resources leads to interaction and contention at various network resources. Consequently, taking into account the traffic characteristics becomes of crucial importance for performance analysis and optimization...
This paper identifies non-stationary effects in grid like Network-on-Chip (NoC) traffic and proposes QuaLe, a novel statistical physics-inspired model, that can account for non-stationarity observed in packet arrival processes. Using a wide set of real application traces, we demonstrate the need for a multi-fractal approach and analyze various packet arrival properties accordingly. As a case study,...
Networks-on-chip (NoCs) have been proposed as a scalable solution to solving the communication problem in multicore systems. Although the queuing-based approaches have been traditionally used for performance analysis purposes, they cannot properly account for many of the traffic characteristics (e.g., non-stationary, self-similarity, higher order statistics) that are crucial for multicore platform...
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