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Approximate Circuits

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Cover of 'Approximate Circuits'

Table of Contents

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    Book Overview
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    Chapter 1 Configurable Models and Design Space Exploration for Low-Latency Approximate Adders
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    Chapter 2 Approximate Multipliers and Dividers Using Dynamic Bit Selection
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    Chapter 3 Heterogeneous Approximate Multipliers: Architectures and Design Methodologies
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    Chapter 4 Approximate Arithmetic Circuits: Design and Evaluation
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    Chapter 5 Probabilistic Error Analysis of Approximate Adders and Multipliers
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    Chapter 6 Automatic Synthesis Techniques for Approximate Circuits
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    Chapter 7 Approximate Logic Synthesis Using Boolean Matrix Factorization
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    Chapter 8 Approximate Hardware Generation Using Formal Techniques
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    Chapter 9 Automated Search-Based Functional Approximation for Digital Circuits
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    Chapter 10 Approximate High-Level Synthesis of Custom Hardware
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    Chapter 11 Error Analysis and Optimization in Approximate Arithmetic Circuits
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    Chapter 12 Approximate Multi-Accelerator Tiled Architecture for Energy-Efficient Motion Estimation
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    Chapter 13 Hardware–Software Approximations for Deep Neural Networks
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    Chapter 14 Lightweight Deep Neural Network Accelerators Using Approximate SW/HW Techniques
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    Chapter 15 Approximate Computing Techniques for Deep Neural Networks
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    Chapter 16 Approximate Computing for Iris Recognition Systems
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    Chapter 17 Approximate Systems: Synergistically Approximating Sensing, Computing, Memory, and Communication Subsystems for Energy Efficiency
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    Chapter 18 Approximate Ultra-Low Voltage Many-Core Processor Design
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    Chapter 19 Approximate CPU and GPU Design Using Emerging Memory Technologies
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    Chapter 20 Approximate Cache Architectures
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    Chapter 21 Towards Breaking the Memory Bandwidth Wall Using Approximate Value Prediction
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    Chapter 22 Compilation and Other Software Techniques Enabling Approximate Computing
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Title
Approximate Circuits
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-319-99322-5
ISBNs
978-3-31-999321-8, 978-3-31-999322-5
Editors

Reda, Sherief, Shafique, Muhammad

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Student > Master 3 12%
Researcher 3 12%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 3 12%
Unknown 7 27%
Readers by discipline Count As %
Engineering 11 42%
Computer Science 5 19%
Mathematics 1 4%
Unknown 9 35%