Abstract | ||
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There is growing interest in emerging non-volatile memory technologies such as Phase-Change Memory, Memristors, and Spin-Transfer Torque RAM (STT-RAM). STT-RAM, in particular, is experiencing rapid development that can be difficult for memory systems researchers to take advantage of. What is needed are techniques that enable designers to explore the potential of recent STT-RAM designs and adjust the performance without needing a detailed understanding of the physics. In this paper, we present the STeTSiMS STT-RAM Simulation and Modeling System to assist memory systems researchers.
After providing background on the operation of STT-RAM magnetic tunnel junctions (MTJs), we demonstrate how to fit three different published MTJ models to our model and normalize their characteristics with respect to common metrics. The high-speed switching behavior of the designs is evaluated using macromagnetic simulations. We have also added a first-order model for STT-RAM memory arrays to the CACTI memory modeling tool, which we then use to evaluate the performance, energy consumption, and area for: (i) a high-performance cache, (ii) a high-capacity cache, and (iii) a high-density memory.
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Year | DOI | Venue |
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2011 | 10.1109/ICCAD.2011.6105348 | ICCAD |
Keywords | Field | DocType |
stetsims stt-ram simulation,non-volatile memory technology,mtj model,memory systems researcher,stt-ram memory array,recent stt-ram design,cacti memory modeling tool,stt-ram magnetic tunnel junction,high-density memory,first-order model,memristors,non volatile memory,phase change memory,memristor,magnetic tunnel junction,resistive ram,memory model,first order | Memristor,Torque,Computer science,Cache,Computing with Memory,Electronic engineering,Memory systems,Energy consumption,Magnetic tunnelling,Resistive random-access memory | Conference |
ISSN | ISBN | Citations |
1933-7760 | 978-1-4577-1398-9 | 8 |
PageRank | References | Authors |
0.61 | 7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Clinton Wills Smullen IV | 1 | 146 | 8.86 |
Anurag Nigam | 2 | 153 | 10.83 |
Sudhanva Gurumurthi | 3 | 1232 | 78.23 |
Mircea R. Stan | 4 | 3103 | 277.34 |