eprintid: 3006 rev_number: 8 eprint_status: archive userid: 375 dir: disk0/00/00/30/06 datestamp: 2018-06-18 07:59:09 lastmod: 2018-06-18 07:59:09 status_changed: 2018-06-18 07:59:09 type: book_section metadata_visibility: no_search creators_name: Dang, Nam Khanh creators_name: Abdallah, Abderazek Ben creators_id: dnk0904@gmail.com creators_id: benab@u-aizu.ac.jp title: Architecture and Design Methodology for Highly-Reliable TSV-NoC Systems ispublished: pub subjects: ECE subjects: ElectronicsandComputerEngineering divisions: lab_sis abstract: During the past few decades, a lot of research has been focusing on Three-dimensional Networks-on-Chips (3D-NoCs) as an auspicious solution to alleviate the interconnect bottleneck and reduce the power consumption in current System-on-Chips (SoCs) designs. However, 3D-NoC systems are becoming susceptible to a variety of faults caused by crosstalk, radiation, oxide breakdown, and so on. As a result, a simple failure in a single transistor caused by one of these factors may compromise the entire system reliability where the failure can be illustrated in corrupted message delivery, time requirement unsatisfactory, or even sometimes the whole system collapse. This chapter presents a detailed faults/defects analysis and an efficient reliability assessment method to approximate the lifetime reliability of a NoC system. Also, this chapter presents an architecture and hardware design of a fault-tolerant TSV based 3D-NoC system which can handle major failures (i.e., hard-faults, soft-errors and TSV-defects) that can occur in TSV-based 3D-NoC systems. date: 2018-02 date_type: published publisher: Nova Science Publishers official_url: https://www.novapublishers.com/catalog/product_info.php?products_id=64154 full_text_status: none volume: 16 pagerange: 199-246 refereed: TRUE isbn: 978-1-53613-327-1 book_title: Horizons in Computer Science Research citation: Dang, Nam Khanh and Abdallah, Abderazek Ben (2018) Architecture and Design Methodology for Highly-Reliable TSV-NoC Systems. In: Horizons in Computer Science Research. Nova Science Publishers, pp. 199-246. ISBN 978-1-53613-327-1