A high-level exploration tool for three-dimensional network-on-chip. (2017)

• Record Type: Journal Article
• Authors: Wu, Ji; Xie, Dongqing; Tang, Lin
• Is Part Of: International journal of computational science and engineering. Volume 14:Number 2(2017)
• Page Start: 164
• Page End: 178
• Publication Date: 2017
• Subjects: 3D NoC -- design space exploration -- multi-core processor design -- microarchitectures -- network-on-chip -- fabrication cost -- network throughput -- energy consumption; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

Abstract

The convergence of 3D technology and NoC, the so-called 3D NoC, that freedom of interconnects in the vertical dimension can create new architectures, and has already proved higher performance than traditional 2D NoCs. In this paper, we explore the architectural design of 3D NoC and introduce a compositive model of fabrication cost, network throughput and power consumption, supporting six 3D NoC architectures, 3D mesh, hyper octagon, ciliated mesh, separate mesh, generic fat tree (SPIN) and butterfly fat tree (BFT), to explore different 3D design options of 3D NoCs. The model allows partition of IPs across different dies in 3D stack. Based on the model an estimation tool, 3D-partition, is created and validated by comparing its results with those obtained from NIRGAM. Effects of various 3D NoC architectures under different 3D IC partition strategies on cost, throughput and power consumption are explored to demonstrate the utility of the tool. It provides economic and performance reference to designing 3D ICs for volume production in the future.