Authors:
- Introduces new paradigm for hardware reconfigurable frameworks, which leverages dense memory array as a malleable resource, which can be used for information storage as well as computation
- Merges spatial and temporal computing to minimize interconnect overhead and achieve better scalability compared to state-of-the-art reconfigurable computing platforms
- Enables efficient mapping of diverse data-intensive applications from domains of signal processing, multimedia and security applications
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Table of contents (20 chapters)
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Front Matter
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Memory Based Computing: Overview
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Front Matter
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Hardware Framework
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Front Matter
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Software Framework
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Front Matter
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About this book
Authors and Affiliations
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Intel Labs, Hillsboro, USA
Somnath Paul
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Department of EECS, Case Western Reserve University, Cleveland, USA
Swarup Bhunia
Bibliographic Information
Book Title: Computing with Memory for Energy-Efficient Robust Systems
Authors: Somnath Paul, Swarup Bhunia
DOI: https://doi.org/10.1007/978-1-4614-7798-3
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4614-7797-6
Softcover ISBN: 978-1-4939-4819-2
eBook ISBN: 978-1-4614-7798-3
Edition Number: 1
Number of Pages: XIII, 210
Number of Illustrations: 32 b/w illustrations, 41 illustrations in colour
Topics: Circuits and Systems, Electronics and Microelectronics, Instrumentation, Processor Architectures