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Home / programming language / FPGA / Multiple-Cell Reference Scheme for Narrow Reference Resistance Distribution in Deep Submicrometer STT-RAM
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Multiple-Cell Reference Scheme for Narrow Reference Resistance Distribution in Deep Submicrometer STT-RAM

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SKU: PROJ7455 Categories: 2017 Projects, Final Year Projects, FPGA, VLSI Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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Multiple-Cell Reference Scheme for Narrow Reference Resistance Distribution in Deep Submicrometer STT-RAM

Abstract— Spin-transfer-torque random access memory (STT-RAM) has attracted much research interest because of its characteristics of nonvolatility (i.e., zero standby power) and small cell size (i.e., high density and high performance). As the technology node is scaled down, however, the sensing margin of the STT-RAM is degraded because of the increased process variation and reduced supply voltage. To improve the sensing margin, this brief focuses on a reference scheme design capable of reducing the reference resistance distribution. A multiple-cell
reference (MCR) scheme is proposed that achieves the narrow reference resistance distribution. Moreover, the MCR scheme does not exhibit parasitic mismatch, regularity problem, read disturbance, and write current degradation, and it also has small area overhead. As increasing battery lifetime and decreasing device size have become the main objectives of low-power VLSI circuit designs, spin-transfer-torque random access memory (STT-RAM) having the
characteristics of nonvolatility and small cell size has been widely researched < final year projects >

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