Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-1-4939-2163-8_3
Title: Design and optimization of spin-transfer torque MRAMs
Authors: Fong, X 
Choday, SH
Roy, K 
Issue Date: 1-Jan-2015
Publisher: Springer New York
Citation: Fong, X, Choday, SH, Roy, K (2015-01-01). Design and optimization of spin-transfer torque MRAMs. More than Moore Technologies for Next Generation Computer Design : 49-72. ScholarBank@NUS Repository. https://doi.org/10.1007/978-1-4939-2163-8_3
Abstract: In this chapter, reviews the basics and modeling of spin-transfer torque magnetic RAM (STT-MRAM) for circuit-level failure analysis. A methodology for analyzing failures in STT-MRAM bit-cells is also presented. The optimization of STT-MRAM bit-cells using the presented framework is then discussed, along withseveral circuit and array architecture-level failure mitigation techniques. We will show that despite the relatively high write energy in STT-MRAM, large capacity last level caches based on STT-MRAM can be more energy efficient than their SRAM counterparts due to the unique characteristics of STT-MRAM. The cache capacity of high-performance microprocessors is increasing as transistor technology is scaled down. Since the leakage power also increases exponentially with the scaling down of transistor technology, the power dissipation of on-chip caches is an increasingly dominant component of power dissipation in highperformance microprocessors. Non-volatile memories have been proposed as a solution for mitigating the increasing power dissipation in high-performance onchip caches. Among the currently available non-volatile memory technologies, only spin-transfer torque magnetic random access memory (STT-MRAM) has the desired characteristics for high-performance on-chip cache applications [1]. In this chapter, we discuss the design optimization and modeling of STT-MRAMs, and its potential application in high-performance on-chip caches.
Source Title: More than Moore Technologies for Next Generation Computer Design
URI: https://scholarbank.nus.edu.sg/handle/10635/245815
ISBN: 9781493921621
DOI: 10.1007/978-1-4939-2163-8_3
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