TY - GEN
T1 - Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning
AU - Kadetotad, Deepak
AU - Xu, Zihan
AU - Mohanty, Abinash
AU - Chen, Pai Yu
AU - Lin, Binbin
AU - Ye, Jieping
AU - Vrudhula, Sarma
AU - Yu, Shimeng
AU - Cao, Yu
AU - Seo, Jae-sun
PY - 2014/12/9
Y1 - 2014/12/9
N2 - This paper proposes a parallel architecture with resistive crosspoint array. The design of its two essential operations, Read and Write, is inspired by the biophysical behavior of a neural system, such as integrate-and-fire and time-dependent synaptic plasticity. The proposed hardware consists of an array with resistive random access memory (RRAM) and CMOS peripheral circuits, which perform matrix product and dictionary update in a fully parallel fashion, at the speed that is independent of the matrix dimension. The entire system is implemented in 65nm CMOS technology with RRAM to realize high-speed unsupervised dictionary learning. As compared to state-of-the-art software approach, it achieves more than 3000X speedup, enabling real-time feature extraction on a single chip.
AB - This paper proposes a parallel architecture with resistive crosspoint array. The design of its two essential operations, Read and Write, is inspired by the biophysical behavior of a neural system, such as integrate-and-fire and time-dependent synaptic plasticity. The proposed hardware consists of an array with resistive random access memory (RRAM) and CMOS peripheral circuits, which perform matrix product and dictionary update in a fully parallel fashion, at the speed that is independent of the matrix dimension. The entire system is implemented in 65nm CMOS technology with RRAM to realize high-speed unsupervised dictionary learning. As compared to state-of-the-art software approach, it achieves more than 3000X speedup, enabling real-time feature extraction on a single chip.
UR - http://www.scopus.com/inward/record.url?scp=84920545941&partnerID=8YFLogxK
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U2 - 10.1109/BioCAS.2014.6981781
DO - 10.1109/BioCAS.2014.6981781
M3 - Conference contribution
AN - SCOPUS:84920545941
T3 - IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
SP - 536
EP - 539
BT - IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014
Y2 - 22 October 2014 through 24 October 2014
ER -