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Communication Locality in Computation: Software, Chip Multiprocessors and Brains
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Communication Locality in Computation: Software, Chip Multiprocessors and Brains (Paperback)

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Synopsis

This thesis argues that it is the communication costs of algorithms, rather than their computation costs, that will dominate future computing concerns. That, as we move to thousands of cores on a chip, the physical spatial locality of computation and data becomes critical to performance and cost. However, there is very little in the way of theory, models, or even characterisation of such locality for Chip-Multiprocessors (CMP). This thesis adapts and extends the existing theory and models of wire locality in VLSI circuits to the physical and temporal locality of software running on CMPs. It aims to provide a new foundation for characterising, modelling, predicting and exploiting the communication properties of software, which as we show, exhibits Rentian fractal scaling. In doing so, it lays a new communication-centric foundation for CMP software and hardware, and provides fundamental insights into their continued technological scaling.

Computing & ITComputer programming / software developmentAlgorithms & data structures Publisher: BCS Learning & Development Limited Publication Date: 03/11/2011 ISBN-13: 9781906124922  Details: Type: Paperback Format: Books
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Daniel Greenfield completed his PhD at the University of Cambridge as a Gates Cambridge Scholar, supervised by Dr Simon Moore. Prior to this he spent many years designing innovative GPUs, media processors and network processors in Silicon Valley. He obtained his previous degrees from the University of New South Wales, where his Masters developed new algorithms in systems biology. He has won multiple competitions in software, and has represented Australia internationally. He is currently Managing Director and co-founder of Fonleap Ltd, a high-tech startup in Cambridge.

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