Low Power Memory/Memristor Devices and Systems / / by Alex Serb, Adnan Mehonic (editors).

• TeilnehmendeR: Serb, Alex,; Mehonic, Adnan,
• Place / Publishing House: [Place of publication not identified] : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023.
• Year of Publication: 2023
• Language: English
• Physical Description: 1 online resource (250 pages)

This book focusses on achieving low-power computation using memristive devices. The topic was designed as a convenient reference point: it contains a mix of techniques starting from the fundamental manufacturing of memristive devices all the way to applications such as physically unclonable function...

Table of Contents

• Preface to "Low Power Memory/Memristor Devices and Systems" vii
• A Novel Inductorless Design Technique for Linear Equalization in Optical Receivers 1
• Towards Integration of a Dedicated Memory Controller and Its Instruction Set to Improve Performance of Systems Containing Computational SRAM 21
• Silicon-Compatible Memristive Devices Tailored by Laser and Thermal Treatments 33
• Design of In-Memory Parallel-Prefix Adders 55
• A New Physical Design Flow for a Selective State Retention Based Approach 71
• Energy-Efficient Non-Von Neumann Computing Architecture Supporting Multiple Computing Paradigms for Logic and Binarized Neural Networks 87
• Minimization of the Line Resistance Impact on Memdiode-Based Simulations of Multilayer Perceptron Arrays Applied to Pattern Recognition 105
• A Morphable Physically Unclonable Function and True Random Number Generator Using a Commercial Magnetic Memory 123
• Continuous-Time Programming of Floating-Gate Transistors for Nonvolatile Analog Memory Arrays † 139
• Logic-in-Memory Computation: Is It Worth It? A Binary Neural Network Case Study 161
• Rediscovering Majority Logic in the Post-CMOS Era: A Perspective from In-Memory Computing 195
• Graph Coloring via Locally-Active Memristor Oscillatory Networks 211.