AnyNoC: new network on a chip switching using the shared-memory and output-queue techniques for complex Internet of things systems

Jia Yang Lin, Yi Ting Hsieh, Trong Nghia Le, Wen Long Chin

Research output: Contribution to journalArticle

Abstract

Recently, the Internet of things (IoT) has attracted a lot of attention owing to its versatile applications by enabling numerous things/objects to collect and exchange data via Internet. Despite the promising role of IoT, there exists the problem of integrating many heterogeneous functions into an embedded and complex IoT system. Meanwhile, in the past decade, we have also envisioned a paradigm shift in the embedded system market toward the system on a chip (SoC) by integrating all components into a single chip. But the on-chip communications of IoT systems remain an important and challenging issue. This work proposes a new network on a chip (NoC) switching, AnyNoC, employing the shared-memory and output-queue techniques implemented using the efficient dynamic link list, particularly suitable for the IoT SoC. The proposed high-level design can achieve the optimal performance by sharing the data buffer among all ports and eliminating the head-of-line blocking problem, resulting in a virtual point-to-point characteristic without the interruption of slow devices or congestion conditions in other ports. Moreover, the proposed architecture can minimize the required memory size by virtually sharing all buffers among all ports, resulting in one queue needed for each outbound port and totally N queues are required, where N denotes the number of ports. Therefore, compared to the famous wormhole switching, the proposed NoC architecture features lower cost and higher performance, which can approach the theoretical upper bound. Moreover, for a 16 × 16 network, the performance gain of the throughput of the proposed switching compared to the popular wormhole switching is about 40 %.

Original languageEnglish
Pages (from-to)4470-4480
Number of pages11
JournalJournal of Supercomputing
Volume74
Issue number9
DOIs
Publication statusPublished - 2018 Sep 1

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture

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