Please use this identifier to cite or link to this item:
Title: Hardware-software co-design and optimization for point-to-point network-on-chip based many-core systems
Authors: Chen, Hui
Keywords: Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Chen, H. (2022). Hardware-software co-design and optimization for point-to-point network-on-chip based many-core systems. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Many-core systems, which consist of numerous processing elements (PEs), provide high execution parallelism. To connect these PEs, network-on-chip (NoC) is proposed as an efficient on-chip communication paradigm. Nevertheless, NoC faces two challenges in reducing communication overheads. Firstly, the hop-by-hop buffering and arbitration in NoC lead to huge transmission delay and energy consumption. Secondly, NoC resource management strategies, e.g., mapping and routing, are not fully optimized. To address these challenges, we propose software and hardware collaborated methodologies. (1) We propose a software-defined point-to-point NoC architecture, ArSMART, enabling single-cycle multi-hop transmission and application-specific communication optimization. (2) We present a method to co-optimize task mapping and routing to accelerate computation and communication simultaneously, extending ArSMART to heterogeneous systems. (3) We fully utilize the parallelism that exists in NoCs through parallel multipath transmission, further reducing transmission latency in ArSMART. Experiments show our solutions achieve remarkable performance improvement in terms of latency, area, and power.
DOI: 10.32657/10356/156762
Rights: This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

Files in This Item:
File Description SizeFormat 
PhDThesis_Final Version.pdfThe final version of the PhD thesis7.21 MBAdobe PDFView/Open

Page view(s)

Updated on May 19, 2022


Updated on May 19, 2022

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.