A low latency and low power indirect topology for on-chip communication

Autoři: Usman Ali Gulzari aff001;  Sarzamin Khan aff002;  Muhammad Sajid aff003;  Sheraz Anjum aff004;  Frank Sill Torres aff005;  Hessam Sarjoughian aff006;  Abdullah Gani aff007
Působiště autorů: Department of Electrical Engineering, The University of Lahore, Islamabad, Pakistan aff001;  Department of Electrical Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan aff002;  Department of Electrical and Computer Engineering, University of Western Ontario, London, Ontario, Canada aff003;  Department of Computer Science, COMSATS University, Islamabad, Wah Campus, Wah Cantt, Pakistan aff004;  German Aerospace Center, Institute for the Protection of Maritime Infrastructures, Bremerhaven, Germany aff005;  Arizona Center for Integrative Modeling & Simulation, Arizona State University, Tempe, United States of America aff006;  Faculty of Computing and Informatics, Universiti Malaysia Sabah, International Campus Labuan, WP Labuan, Malaysia aff007
Vyšlo v časopise: PLoS ONE 14(10)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0222759


This paper presents the Hybrid Scalable-Minimized-Butterfly-Fat-Tree (H-SMBFT) topology for on-chip communication. Main aspects of this work are the description of the architectural design and the characteristics as well as a comparative analysis against two established indirect topologies namely Butterfly-Fat-Tree (BFT) and Scalable-Minimized-Butterfly-Fat-Tree (SMBFT). Simulation results demonstrate that the proposed topology outperforms its predecessors in terms of performance, area and power dissipation. Specifically, it improves the link interconnectivity between routing levels, such that the number of required links isreduced. This results into reduced router complexity and shortened routing paths between any pair of communicating nodes in the network. Moreover, simulation results under synthetic as well as real-world embedded applications workloads reveal that H-SMBFT can reduce the average latency by up-to35.63% and 17.36% compared to BFT and SMBFT, respectively. In addition, the power dissipation of the network can be reduced by up-to33.82% and 19.45%, while energy consumption can be improved byup-to32.91% and 16.83% compared to BFT and SMBFT, respectively.

Klíčová slova:

Algorithms – Energy transfer – Intelligence – Memory – Network analysis – Telecommunications – Network bandwidth – Moths and butterflies


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2019 Číslo 10
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