SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory

Seyed Hossein Hashemi Shadmehri; Ali Banagozar; Mehdi Kamal; Sander Stuijk; Ali Afzali-Kusha; Massoud Pedram; Henk Corporaal

doi:10.23919/DATE54114.2022.9774749

SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory

Seyed Hossein Hashemi Shadmehri, Ali Banagozar, Mehdi Kamal, Sander Stuijk, Ali Afzali-Kusha, Massoud Pedram, Henk Corporaal

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

6 Citaten (Scopus)

Samenvatting

Computation-in-memory (CIM) is one of the most appealing computing paradigms, especially for implementing artificial neural networks. Non-volatile memories like ReRAMs, PCMs, etc., have proven to be promising candidates for the realization of CIM processors. However, these devices and their driving circuits are subject to non-idealities. This paper presents a comprehensive platform, named SysCIM, for simulating memristor-based CIM systems. SySCIM considers the impact of the non-idealities of the CIM components, including memristor device, memristor crossbar (interconnects), analog-to-digital converter, and transimpedance amplifier, on the vector-matrix multiplication performed by the CIM unit. The CIM modules are described in SystemC and SystemC-AMS to reach a higher simulation speed while maintaining high simulation accuracy. Experiments under different crossbar sizes show SySCIM performs simulations up to 117 x faster than HSPICE with less than 4% accuracy loss. The modular design of SySCIM provides researchers with an easy design-space exploration tool to investigate the effects of various non-idealities.

Originele taal-2	Engels
Titel	Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022)
Redacteuren	Cristiana Bolchini, Ingrid Verbauwhede, Ioana Vatajelu
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	1467-1472
Aantal pagina's	6
ISBN van elektronische versie	978-3-9819263-6-1
DOI's	https://doi.org/10.23919/DATE54114.2022.9774749
Status	Gepubliceerd - 19 mei 2022
Evenement	2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022 - Virtual, Online, België Duur: 14 mrt. 2022 → 23 mrt. 2022

Congres

Congres	2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022
Land/Regio	België
Periode	14/03/22 → 23/03/22

Financiering

ACKNOWLEDGMENT This research is supported by EC Horizon 2020 Research and Innovation Program through MNEMOSENE project under Grant 780215.

Financiers	Financiernummer
EC Horizon 2020 Research and Innovation Program
European Union’s Horizon Europe research and innovation programme	780215

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10.23919/DATE54114.2022.9774749

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Shadmehri, S. H. H., Banagozar, A., Kamal, M., Stuijk, S., Afzali-Kusha, A., Pedram, M., & Corporaal, H. (2022). SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory. In C. Bolchini, I. Verbauwhede, & I. Vatajelu (editors), Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022) (blz. 1467-1472). Artikel 9774749 Institute of Electrical and Electronics Engineers. https://doi.org/10.23919/DATE54114.2022.9774749

Shadmehri, Seyed Hossein Hashemi ; Banagozar, Ali ; Kamal, Mehdi et al. / SySCIM : SystemC-AMS Simulation of Memristive Computation In-Memory. Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022). redacteur / Cristiana Bolchini ; Ingrid Verbauwhede ; Ioana Vatajelu. Institute of Electrical and Electronics Engineers, 2022. blz. 1467-1472

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abstract = "Computation-in-memory (CIM) is one of the most appealing computing paradigms, especially for implementing artificial neural networks. Non-volatile memories like ReRAMs, PCMs, etc., have proven to be promising candidates for the realization of CIM processors. However, these devices and their driving circuits are subject to non-idealities. This paper presents a comprehensive platform, named SysCIM, for simulating memristor-based CIM systems. SySCIM considers the impact of the non-idealities of the CIM components, including memristor device, memristor crossbar (interconnects), analog-to-digital converter, and transimpedance amplifier, on the vector-matrix multiplication performed by the CIM unit. The CIM modules are described in SystemC and SystemC-AMS to reach a higher simulation speed while maintaining high simulation accuracy. Experiments under different crossbar sizes show SySCIM performs simulations up to 117 x faster than HSPICE with less than 4% accuracy loss. The modular design of SySCIM provides researchers with an easy design-space exploration tool to investigate the effects of various non-idealities.",

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author = "Shadmehri, {Seyed Hossein Hashemi} and Ali Banagozar and Mehdi Kamal and Sander Stuijk and Ali Afzali-Kusha and Massoud Pedram and Henk Corporaal",

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Shadmehri, SHH, Banagozar, A, Kamal, M, Stuijk, S, Afzali-Kusha, A, Pedram, M & Corporaal, H 2022, SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory. in C Bolchini, I Verbauwhede & I Vatajelu (uitgave), Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022)., 9774749, Institute of Electrical and Electronics Engineers, blz. 1467-1472, 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022, België, 14/03/22. https://doi.org/10.23919/DATE54114.2022.9774749

SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory. / Shadmehri, Seyed Hossein Hashemi; Banagozar, Ali; Kamal, Mehdi et al.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022). uitgave / Cristiana Bolchini; Ingrid Verbauwhede; Ioana Vatajelu. Institute of Electrical and Electronics Engineers, 2022. blz. 1467-1472 9774749.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Shadmehri, Seyed Hossein Hashemi

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N2 - Computation-in-memory (CIM) is one of the most appealing computing paradigms, especially for implementing artificial neural networks. Non-volatile memories like ReRAMs, PCMs, etc., have proven to be promising candidates for the realization of CIM processors. However, these devices and their driving circuits are subject to non-idealities. This paper presents a comprehensive platform, named SysCIM, for simulating memristor-based CIM systems. SySCIM considers the impact of the non-idealities of the CIM components, including memristor device, memristor crossbar (interconnects), analog-to-digital converter, and transimpedance amplifier, on the vector-matrix multiplication performed by the CIM unit. The CIM modules are described in SystemC and SystemC-AMS to reach a higher simulation speed while maintaining high simulation accuracy. Experiments under different crossbar sizes show SySCIM performs simulations up to 117 x faster than HSPICE with less than 4% accuracy loss. The modular design of SySCIM provides researchers with an easy design-space exploration tool to investigate the effects of various non-idealities.

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Shadmehri SHH, Banagozar A, Kamal M, Stuijk S, Afzali-Kusha A, Pedram M et al. SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory. In Bolchini C, Verbauwhede I, Vatajelu I, redacteurs, Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022). Institute of Electrical and Electronics Engineers. 2022. blz. 1467-1472. 9774749 doi: 10.23919/DATE54114.2022.9774749

SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory

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