Authors:
- Describes design space exploration (DSE) methodologies for data storage and processing in embedded systems, which achieve near-optimal solutions with scalable exploration time
- Presents a set of principles and the processes which support the development of the proposed scalable and near-optimal methodologies
- Enables readers to apply scalable and near-optimal methodologies to the intra-signal in-place optimization step for both regular and irregular memory accesses
- Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Background Memory Management Methodologies
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Front Matter
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Processing Related Mapping Methodologies
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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University of Patras, Piraeus, Greece
Angeliki Kritikakou
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IMEC, Leuven, Belgium
Francky Catthoor
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Rio Campus, University of Patras, Patras, Greece
Costas Goutis
Bibliographic Information
Book Title: Scalable and Near-Optimal Design Space Exploration for Embedded Systems
Authors: Angeliki Kritikakou, Francky Catthoor, Costas Goutis
DOI: https://doi.org/10.1007/978-3-319-04942-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-04941-0Published: 03 April 2014
Softcover ISBN: 978-3-319-37830-5Published: 23 August 2016
eBook ISBN: 978-3-319-04942-7Published: 21 March 2014
Edition Number: 1
Number of Pages: XVII, 277
Number of Illustrations: 78 b/w illustrations, 2 illustrations in colour
Topics: Circuits and Systems, Processor Architectures, Electronics and Microelectronics, Instrumentation, Energy, general