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MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System.
- Source :
-
IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems . May2018, Vol. 37 Issue 5, p1009-1022. 14p. - Publication Year :
- 2018
-
Abstract
- Memristor-based computation provides a promising solution to boost the power efficiency of the neuromorphic computing system. However, a behavior-level memristor-based neuromorphic computing simulator, which can model the performance and realize an early stage design space exploration, is still missing. In this paper, we propose a simulation platform for the memristor-based neuromorphic system, called MNSIM. A hierarchical structure for memristor-based neuromorphic computing accelerator is proposed to provides flexible interfaces for customization. A detailed reference design is provided for large-scale applications. A behavior-level computing accuracy model is incorporated to evaluate the computing error rate affected by interconnect lines and nonideal device factors. Experimental results show that MNSIM achieves over 7000 times speed-up than SPICE simulation. MNSIM can optimize the design and estimate the tradeoff relationships among different performance metrics for users. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 02780070
- Volume :
- 37
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems
- Publication Type :
- Academic Journal
- Accession number :
- 129266259
- Full Text :
- https://doi.org/10.1109/TCAD.2017.2729466