LEADER 03185nam 2200397 450 001 9910647231503321 005 20230323152051.0 010 $a3-0365-6186-2 035 $a(CKB)5680000000300029 035 $a(NjHacI)995680000000300029 035 $a(EXLCZ)995680000000300029 100 $a20230323d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aLow Power Memory/Memristor Devices and Systems /$fby Alex Serb, Adnan Mehonic (editors) 210 1$a[Place of publication not identified] :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2023. 215 $a1 online resource (250 pages) 311 $a3-0365-6185-4 327 $aPreface 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. 330 $aThis 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. 606 $aMemristors$vCongresses 606 $aElectric resistors$vCongresses 615 0$aMemristors 615 0$aElectric resistors 676 $a621.38154 702 $aSerb$b Alex 702 $aMehonic$b Adnan 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910647231503321 996 $aLow Power Memory$93017844 997 $aUNINA LEADER 01383oam 22003733u 450 001 9910698275203321 005 20060524155022.0 035 $a(CKB)4330000001761646 035 $a(OCoLC)68228011 035 $a(EXLCZ)994330000001761646 100 $a20060505d2004 ua 0 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis and comparison of test results from the small wind research turbine test project$b[electronic resource] $epreprint /$fD. Corbus and D. Prascher 210 1$aGolden, Colo. :$cNational Renewable Energy Laboratory,$d[2004] 215 $a13 pages $cdigital, PDF file 225 1 $aConference paper ;$vNREL/CP-500-36891 300 $aTitle from title screen (viewed on May 24, 2006). 300 $a"November 2004." 517 $aAnalysis and Comparison of Test Results from the Small Wind Research Turbine Test Project 606 $aWind turbines$xTesting 615 0$aWind turbines$xTesting. 700 $aCorbus$b D$01385026 701 $aPrascher$b D$g(Dan)$01385027 712 02$aNational Renewable Energy Laboratory (U.S.) 801 0$bDOX 801 1$bDOX 801 2$bGPO 906 $aBOOK 912 $a9910698275203321 996 $aAnalysis and comparison of test results from the small wind research turbine test project$93432042 997 $aUNINA