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Titlebook: In-Memory Computing; Synthesis and Optimi Saeideh Shirinzadeh,Rolf Drechsler Book 2020 Springer Nature Switzerland AG 2020 Memristors.Memri

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methods, including graphical methods, hypothesis tests, model selection and density estimation. It relies on parametric, semiparametric and nonparametric theory978-1-4614-2449-9978-0-387-92710-7Series ISSN 0172-7397 Series E-ISSN 2197-568X
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ctive optimization algorithm also applicable to classical logic synthesis;.Investigates unbalanced write traffic in logic-in-memory architectures and describes wear leveling approaches to alleviate it..978-3-030-18028-7978-3-030-18026-3
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Book 2020 compilation of programmable logic-in-memory computer architectures;.Includes several effective optimization algorithm also applicable to classical logic synthesis;.Investigates unbalanced write traffic in logic-in-memory architectures and describes wear leveling approaches to alleviate it..
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Saeideh Shirinzadeh,Rolf Drechsleristician who is involved in comparative studies....The book gives a self-contained theoretical treatment of a wide range of goodness-of-fit methods, including graphical methods, hypothesis tests, model selection and density estimation. It relies on parametric, semiparametric and nonparametric theory
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Introduction,aints on the processing of large quantities of data. This chapter calls for a revolutionary approach to address this challenge by exploring synthesis for in-memory computing and outlines an overview and motivations of this book.
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Compilation and Wear Leveling for Programmable Logic-in-Memory Architecture,hly matters due to the fact that RRAM devices suffer from quite low write endurance, despite being superior to conventional memories in many aspects. In this context, this chapter also presents techniques for balancing memory write traffic as a solution to extend the lifetime of resistive crossbar architectures.
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logic-in-memory computer architectures.Includes several effe.This book describes a comprehensive approach for synthesis and optimization of logic-in-memory computing hardware and architectures using memristive devices, which creates a firm foundation for practical applications.  Readers will get fam
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