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Title:Fuzzy-token: An adaptive Mac protocol for wireless network-on-chip
Author(s):Franques Garcia, Antonio Maria
Advisor(s):Torrellas, Josep
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Chip Multiprocessor
Wireless Network-on-Chip
Media Access Control
Abstract:Recent computer architecture trends herald the arrival of massive multiprocessors with more than a thousand processor cores within a single chip. In this context, as parallel programs continue to increase the amount of data sharing and signaling between cores, on-chip communication becomes a critical issue. Unfortunately, traditional on-chip networks have been proven to not scale well in terms of latency or energy consumption, slowing down the computation in thousand-core processors. The Wireless Network-on-Chip (WNoC) paradigm holds considerable promise for the implementation of on-chip networks that will enable such massive multicore chips. One of the main challenges, however, resides in the design of methods that provide fast and efficient access to the wireless channel while adapting to the constant traffic changes within and across applications. Existing approaches are either cumbersome or do not provide the required adaptivity. We propose Fuzzy-Token, a simple protocol that leverages the unique properties of the on-chip scenario to deliver efficient and low-latency access irrespective of the application characteristics. We substantiate our claim via simulations with a synthetic traffic suite and real application traces.
Issue Date:2019-12-05
Type:Text
URI:http://hdl.handle.net/2142/106374
Rights Information:Copyright 2019 Antonio Maria Franques Garcia
Date Available in IDEALS:2020-03-02
Date Deposited:2019-12


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