Estimation of Optimized Energy and Latency Constraint for Task Allocation in 3D Network on Chip

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Provided by: Cornell University
Topic: Hardware
Format: PDF
In Network on Chip (NoC) rooted system, energy consumption is affected by task scheduling and allocation schemes which affect the performance of the system. In this paper, the authors test the pre-existing proposed algorithms and introduced a new energy skilled algorithm for 3D NoC architecture. An efficient dynamic and cluster approaches are proposed along with the optimization using bio-inspired algorithm. The proposed algorithm has been implemented and evaluated on randomly generated benchmark and real life application such as MMS, Telecom and VOPD. The algorithm has also been tested with the E3S benchmark and has been compared with the existing mapping algorithm spiral and crinkles and has shown better reduction in the communication energy consumption and shows improvement in the performance of the system.
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