Technological exploration of RRAM crossbar array for matrix-vector multiplication

Peng Gu, Boxun Li, Tianqi Tang, Shimeng Yu, Yu Cao, Yu Wang, Huazhong Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Scopus citations

Abstract

The matrix-vector multiplication is the key operation for many computationally intensive algorithms. In recent years, the emerging metal oxide resistive switching random access memory (RRAM) device and RRAM crossbar array have demonstrated a promising hardware realization of the analog matrix-vector multiplication with ultra-high energy efficiency. In this paper, we analyze the impact of nonlinear voltage-current relationship of RRAM devices and the interconnect resistance as well as other crossbar array parameters on the circuit performance and present a design guide. On top of that, we propose a technological exploration flow for device parameter configuration to overcome the impact of nonideal factors and achieve a better trade-off among performance, energy and reliability for each specific application. The simulation results of a support vector machine (SVM) and MNIST pattern recognition dataset show that the RRAM crossbar array-based SVM is robust to the input signal fluctuation but sensitive to the tunneling gap deviation. A further resistance resolution test presents that a 4-bit RRAM device is able to realize a recognition accuracy of ∼ 90%, indicating the physical feasibility of RRAM crossbar array-based SVM. In addition, the proposed technological exploration flow is able to achieve 10.98% improvement of recognition accuracy on the MNIST dataset and 26.4% energy savings compared with previous work.

Original languageEnglish (US)
Title of host publication20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages106-111
Number of pages6
ISBN (Electronic)9781479977925
DOIs
StatePublished - Mar 11 2015
Event2015 20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015 - Chiba, Japan
Duration: Jan 19 2015Jan 22 2015

Publication series

Name20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015

Other

Other2015 20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015
CountryJapan
CityChiba
Period1/19/151/22/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Modeling and Simulation

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    Gu, P., Li, B., Tang, T., Yu, S., Cao, Y., Wang, Y., & Yang, H. (2015). Technological exploration of RRAM crossbar array for matrix-vector multiplication. In 20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015 (pp. 106-111). [7058989] (20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASPDAC.2015.7058989