Approximate Circuits Methodologies and CAD

This book provides readers with a comprehensive, state-of-the-art overview of approximate computing, enabling the design trade-off of accuracy for achieving better power/performance efficiencies, through the simplification of underlying computing resources. The authors describe in detail various eff...

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Bibliographic Details
Other Authors: Reda, Sherief (Editor), Shafique, Muhammad (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:1st ed. 2019
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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100 1 |a Reda, Sherief  |e [editor] 
245 0 0 |a Approximate Circuits  |h Elektronische Ressource  |b Methodologies and CAD  |c edited by Sherief Reda, Muhammad Shafique 
250 |a 1st ed. 2019 
260 |a Cham  |b Springer International Publishing  |c 2019, 2019 
300 |a XXIX, 479 p. 222 illus., 167 illus. in color  |b online resource 
505 0 |a Introduction -- Building Blocks -- General Data-Path Circuit-Level / Design Methods -- Memories & I/O -- System-Level -- Synergistic compiler and programming languages -- Conclusion 
653 |a Electronics and Microelectronics, Instrumentation 
653 |a Electronic circuits 
653 |a Processor Architectures 
653 |a Microprocessors 
653 |a Electronics 
653 |a Electronic Circuits and Systems 
653 |a Computer architecture 
700 1 |a Shafique, Muhammad  |e [editor] 
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520 |a This book provides readers with a comprehensive, state-of-the-art overview of approximate computing, enabling the design trade-off of accuracy for achieving better power/performance efficiencies, through the simplification of underlying computing resources. The authors describe in detail various efforts to generate approximate hardware systems, while still providing an overview of support techniques at other computing layers. The book is organized by techniques for various hardware components, from basic building blocks to general circuits and systems. Presents an overview of the approximate arithmetic building blocks that can be used for designing power/performance efficient computing units; Discusses effective memory approximation techniques to employ in conventional, i.e., DRAM and SRAM, as well as emerging, i.e., PCM and STT-RAM, memory technologies, for improving performance, power, and/or energy efficiency of the memory for error resilient applications; Includes an overview of hardware or software/hardware approximation techniques that operate across entire computing devices, including processors, graphical processors, and accelerators that can form a SoC with processors