Spintronics based stochastic computing for efficient Bayesian inference system

Jia, Xiaohong; Yang, Jianlei; Wang, Zhaohao; Chen, Yiran; Li, Hai; Zhao, Weisheng

doi:10.1109/aspdac.2018.8297385

Cited by 20 publications

(30 citation statements)

References 17 publications

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“…The switch matrix and SBG sharing strategy is proposed in SPINBIS to reduce the required number of SBGs with certain design overhead. We compare the design complexity between SPINBIS and the work in [36]. The stochastic computing logics of SPINBIS are the same as [36].…”

Section: F Discussionmentioning

confidence: 99%

“…As we have observed from many applications, especially with large scale, there are many evidences who have the same probabilities and may share the same SBGs to reduce the required SBG array scale. And the second concern is that it usually requires digital-to-analog converters (DACs) to convert the input digital sources into analog format which are defined as bias voltages [36]. Meanwhile, the bias voltages margin is usually very small and high accuracy DACs are required to improve the input margin so that the design overheads are difficult to tolerant.…”

Section: A Motivationmentioning

confidence: 99%

“…As shown in the diagram from Fig. 6, an SBG sharing strategy is exploited in SPINBIS to significantly reduce the required array size which is different from the previous approach [36]. The SBG sharing strategy allows the inputs with the same evidence could be potentially represented by the bitstream generated from the same SBG.…”

Section: B Overview Of Spinbismentioning

confidence: 99%

“…Different with the SBG array in [36], a pre-build SBG array based on SBG sharing strategy is utilized in SPINBIS to improve the stability of SBG and reduce the required number of SBGs. The BL/SL of each SBG in the array is supplied by an internal voltage source that could provide more stable bias voltage than DACs.…”

Section: Sbg Array and Sbg Sharing Strategymentioning

confidence: 99%

“…Similarly, T 4 and T 8 could share the same bitstream but not for T 9 . In this case, only 7 SBGs are required in SPINBIS while 9 SBGs are required if no SBG sharing strategy is utilized [36]. Hence, the SBG sharing strategy could significantly reduce the required SBGs scale, especially for the applications with large scale of input probabilities.…”

Section: Sbg Array and Sbg Sharing Strategymentioning

confidence: 99%

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SPINBIS: Spintronics-Based Bayesian Inference System With Stochastic Computing

Jia

Yang

Dai

et al. 2020

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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Bayesian inference is an effective approach for solving statistical learning problems, especially with uncertainty and incompleteness. However, Bayesian inference is a computingintensive task whose efficiency is physically limited by the bottlenecks of conventional computing platforms. In this work, a spintronics based stochastic computing approach is proposed for efficient Bayesian inference. The inherent stochastic switching behaviors of spintronic devices are exploited to build stochastic bitstream generator (SBG) for stochastic computing with hybrid CMOS/MTJ circuits design. Aiming to improve the inference efficiency, an SBG sharing strategy is leveraged to reduce the required SBG array scale by integrating a switch network between SBG array and stochastic computing logic. A deviceto-architecture level framework is proposed to evaluate the performance of spintronics based Bayesian inference system (SPINBIS). Experimental results on data fusion applications have shown that SPINBIS could improve the energy efficiency about 12× than MTJ-based approach with 45% design area overhead and about 26× than FPGA-based approach.

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Section: F Discussionmentioning

confidence: 99%

Section: A Motivationmentioning

confidence: 99%

Section: B Overview Of Spinbismentioning

confidence: 99%

Section: Sbg Array and Sbg Sharing Strategymentioning

confidence: 99%

Section: Sbg Array and Sbg Sharing Strategymentioning

confidence: 99%

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