Ultra-Fast and High-Reliability SOT-MRAM: From Cache Replacement to Normally-Off Computing

Prenat, Guillaume; Jabeur, Kotb; Vanhauwaert, Pierre; Pendina, Grégory Di; Oboril, Fabian; Bishnoi, Rajendra; Ebrahimi, Mojtaba; Lamard, Nathalie; Boulle, Olivier; Garello, Kévin; Langer, Juergen; Ocker, B.; Cyrille, Marie-Claire; Gambardella, Pietro; Tahoori, Mehdi B.; Gaudin, Gilles

doi:10.1109/tmscs.2015.2509963

Cited by 151 publications

(92 citation statements)

References 49 publications

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“…The SHE on the other hand is responsible (though other effects can contribute) for the spin-orbit torque (SOT) [7,8] in multilayer heterostructures, which can be used for efficient and fast switching of FM layers. The SOT is now also being explored for use in MRAMs [9,10].While spintronics has traditionally focused on FM and non-magnetic materials, in the past few years also antiferromagnetic (AFM) materials have attracted a considerable interest. AFMs offer some unique advantages compared to FMs, but are much less explored (see reviews [11][12][13]).…”

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confidence: 99%

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Spin-Polarized Current in Noncollinear Antiferromagnets

et al. 2017

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Noncollinear antiferromagnets, such as Mn3Sn and Mn3Ir, were recently shown to be analogous to ferromagnets in that they have a large anomalous Hall effect. Here we show that these materials are similar to ferromagnets in another aspect: the charge current in these materials is spin-polarized. In addition, we show that the same mechanism that leads to the spin-polarized current also leads to a transversal spin current, which has a distinct symmetry and origin from the conventional spin Hall effect. We illustrate the existence of the spin-polarized current and the transversal spin current by performing ab initio microscopic calculations and by analyzing the symmetry. Based on the spinpolarized current we propose an antiferromagnetic tunneling junction, analogous in functionality to the magnetic tunneling junction.Introduction. Spintronics is a field that studies phenomena in which both spin and charge degree of electron play an important role. Many of the key spintronics effects are based upon the existence of spin currents. Two main types of spin currents are utilized: the spin-polarized currents in ferromagnets (FMs) and the spin currents due to the spin Hall effect (SHE) which are transveral to the charge current and appear even in non-magnetic materials. The most important effects that originate from the spin-polarized currents in FMs are the giant and the tunneling magnetoresistance effects (GMR and TMR) [1][2][3] and the spin-transfer torque (STT) [4,5]. These effects are utilized in magnetic tunneling junctions (MTJs), which form the basic building block of a new type of solid state memory, the magnetic random access memory (MRAM) [6]. This memory is non-volatite and has speed and density comparable to the widely used dynamic random access memory. The SHE on the other hand is responsible (though other effects can contribute) for the spin-orbit torque (SOT) [7,8] in multilayer heterostructures, which can be used for efficient and fast switching of FM layers. The SOT is now also being explored for use in MRAMs [9,10].While spintronics has traditionally focused on FM and non-magnetic materials, in the past few years also antiferromagnetic (AFM) materials have attracted a considerable interest. AFMs offer some unique advantages compared to FMs, but are much less explored (see reviews [11][12][13]). AFMs have a very fast dynamics, which allows for switching on ps timescale [14][15][16]. Furthermore, there exists a wide range of AFM materials, including many insulators and semiconductors, multiferroics [17] and superconductors [18]. Utilizing (and also studying) AFMs is difficult, largely because the magnetic order in AFMs is hard to detect and to manipulate. Recently, electrical detection [19][20][21][22][23] and manipulation of the AFM order has been demonstrated [23,24], however, both detection and manipulation still remain challenging from a practical point of view.

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Spin-Polarized Current in Noncollinear Antiferromagnets

et al. 2017

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“…For more details and discussion of related issues, we refer the reader to previous work [8,15,[36][37][38].…”

Section: Data Storage Mechanism Of Memory Technologiesmentioning

confidence: 99%

“…SOT-RAM: SOT-RAM is another memory technology that uses MTJ to store data [15]. The major difference between SOT-RAM and STT-RAM is that the SOT-RAM cell has three terminal MTJ to decouple the read and write path.…”

Section: Data Storage Mechanism Of Memory Technologiesmentioning

confidence: 99%

“…Table 2 summarizes the capabilities of DESTINY and compares them with those of CACTI and NVSim. We have compared the results obtained from DESTINY against several commercial and research prototypes [4,5,11,[15][16][17][18][19][20][21][22][23][24][25][26] to validate the newly-added memories, MLC and 3D models in DESTINY (Section 5). The modeling error has been observed to be less than 10% for most cases and less than 25% for all cases.…”

Section: Introductionmentioning

confidence: 99%

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DESTINY: A Comprehensive Tool with 3D and Multi-Level Cell Memory Modeling Capability

Mittal

Wang

Vetter

2017

JLPEA

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Abstract:To enable the design of large capacity memory structures, novel memory technologies such as non-volatile memory (NVM) and novel fabrication approaches, e.g., 3D stacking and multi-level cell (MLC) design have been explored. The existing modeling tools, however, cover only a few memory technologies, technology nodes and fabrication approaches. We present DESTINY, a tool for modeling 2D/3D memories designed using SRAM, resistive RAM (ReRAM), spin transfer torque RAM (STT-RAM), phase change RAM (PCM) and embedded DRAM (eDRAM) and 2D memories designed using spin orbit torque RAM (SOT-RAM), domain wall memory (DWM) and Flash memory. In addition to single-level cell (SLC) designs for all of these memories, DESTINY also supports modeling MLC designs for NVMs. We have extensively validated DESTINY against commercial and research prototypes of these memories. DESTINY is very useful for performing design-space exploration across several dimensions, such as optimizing for a target (e.g., latency, area or energy-delay product) for a given memory technology, choosing the suitable memory technology or fabrication method (i.e., 2D v/s 3D) for a given optimization target, etc. We believe that DESTINY will boost studies of next-generation memory architectures used in systems ranging from mobile devices to extreme-scale supercomputers. The latest source-code of DESTINY is available from the following git repository: https://bitbucket.org/sparsh_mittal/destiny_v2.

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