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

• Pubblicazione: [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023
• Descrizione fisica: 1 online resource (250 pages)
• Disciplina: 621.38154
• Soggetto topico: Memristors; Electric resistors
• Persona (resp. second.): SerbAlex; MehonicAdnan
• Nota di contenuto: 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.
• Sommario/riassunto: 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 functions, and also covers perspectives on, e.g., in-memory computing, which is inextricably linked with emerging memory devices such as memristors. Finally, the book contains a few articles representing how other communities (from typical CMOS design to photonics) are fighting on their own fronts in the quest towards low-power computation, as a comparison with the memristor literature. We hope that readers will enjoy discovering the articles within.
• Titolo autorizzato: Low Power Memory
• ISBN: 3-0365-6186-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910647231503321
• Lo trovi qui: Univ. Federico II