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Probabilistically Programmed STT-MRAM

delete2012-03-01
delete8
PRE
AI
X
Xiaochun Zhu
S
Seung H. Kang
K
K.H. Yuen
R
Rob Gilmore
DOI:10.1109/JETCAS.2012.2187401delete
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Abstract

Abstract

En 中文
Novel memory programming methods and corresponding memory structures are presented in this paper. Unlike conventional memory programming, this programming technique does not require deterministic switching of memory elements. This technique explicitly exploits the probabilistic switching characteristics of memory elements such as spin-transfer torque magnetic tunnel junction (STT-MTJ) to reduce programming power and delay. This technique also allows multilevel cell (MLC) spin-transfer torque magnetoresistive random access memory (STT-MRAM) to be fabricated with existing STT-MTJ fabrication processes, thus making high capacity STT-MRAM chips readily achievable. The optimal STT-MTJ switching probabilities are given in this paper for reaching minimum programming delay, power, and iteration. Moreover, this paper proves, by applying probabilistic programming to existing STT-MTJs, both programming delay and power can be reduced to levels beyond the reach of conventional deterministic programming. Furthermore arbitrarily small programming bit error rate (BER) can be accomplished in theory using probabilistic programming without much penalty on average programming delay and power. On the contrary, deterministic programming always presents finite programming BER, which is expensive to reduce in terms of programming power and delay. The MLC capability of STT-MTJ clusters has also been confirmed using fabricated STT-MTJ devices. The major circuitries for implementing probabilistically programmed MLC STT-MRAM are also presented in this paper.
Keywords:
Arbitrarily small programming bit error rate (BER)
high capacity spin-transfer torque magnetoresistive random access memory (STT-MRAM) chips
low power STT-MRAM
multilevel cell (MLC) memory
probabilistic programming
stochastic switching

Journal

IEEE Journal on Emerging and Selected Topics in Circuits and Systems cover
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
IF:
3.8
Papers:
1.4K
Citations:
2.8K

Organization

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qualcomm
Scholars:
782
Papers: 646
Citations: 1