Dynamic Computing in Memory (DCIM) in Resistive Crossbar Arrays

Seyedhamidreza Motaman; Swaroop Ghosh

doi:10.1109/ICCD.2018.00036

Dynamic Computing in Memory (DCIM) in Resistive Crossbar Arrays

Seyedhamidreza Motaman
, Swaroop Ghosh

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Scopus citations

Abstract

With Von-Neumann computing struggling to match the energy-efficiency of biological systems, there is pressing need to explore alternative computing models. Recent experimental studies have revealed that Resistive Random Access Memory (RRAM) is promising alternative for DRAM. Resistive crossbar arrays possess many promising features that can not only enable high-density and low-power storage but also non Von-Neumann compute models. Most recent works focus on dot product operation with RRAM crossbar arrays, and therefore are not flexible to implement various logical functions. We propose a low-power dynamic computing in memory system which can implement various functions in Sum of Product (SOP) form in RRAM crossbar array architecture. We evaluate the proposed technique by performing simulation over wide range of MCNC benchmarks. Simulation results show 1.42X and 20X latency improvement as well as 2.6X and 12.6X power saving compared to static and MAGIC computing in memory methods.

Original language	English (US)
Title of host publication	Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	179-186
Number of pages	8
ISBN (Electronic)	9781538684771
DOIs	https://doi.org/10.1109/ICCD.2018.00036
State	Published - Jan 16 2019
Event	36th International Conference on Computer Design, ICCD 2018 - Orlando, United States Duration: Oct 7 2018 → Oct 10 2018

Publication series

Name	Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018

Conference

Conference	36th International Conference on Computer Design, ICCD 2018
Country/Territory	United States
City	Orlando
Period	10/7/18 → 10/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ICCD.2018.00036

Cite this

Motaman, S., & Ghosh, S. (2019). Dynamic Computing in Memory (DCIM) in Resistive Crossbar Arrays. In Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018 (pp. 179-186). Article 8615686 (Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCD.2018.00036

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abstract = "With Von-Neumann computing struggling to match the energy-efficiency of biological systems, there is pressing need to explore alternative computing models. Recent experimental studies have revealed that Resistive Random Access Memory (RRAM) is promising alternative for DRAM. Resistive crossbar arrays possess many promising features that can not only enable high-density and low-power storage but also non Von-Neumann compute models. Most recent works focus on dot product operation with RRAM crossbar arrays, and therefore are not flexible to implement various logical functions. We propose a low-power dynamic computing in memory system which can implement various functions in Sum of Product (SOP) form in RRAM crossbar array architecture. We evaluate the proposed technique by performing simulation over wide range of MCNC benchmarks. Simulation results show 1.42X and 20X latency improvement as well as 2.6X and 12.6X power saving compared to static and MAGIC computing in memory methods.",

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Motaman, S & Ghosh, S 2019, Dynamic Computing in Memory (DCIM) in Resistive Crossbar Arrays. in Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018., 8615686, Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018, Institute of Electrical and Electronics Engineers Inc., pp. 179-186, 36th International Conference on Computer Design, ICCD 2018, Orlando, United States, 10/7/18. https://doi.org/10.1109/ICCD.2018.00036

Dynamic Computing in Memory (DCIM) in Resistive Crossbar Arrays. / Motaman, Seyedhamidreza; Ghosh, Swaroop.
Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 179-186 8615686 (Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Ghosh, Swaroop

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N2 - With Von-Neumann computing struggling to match the energy-efficiency of biological systems, there is pressing need to explore alternative computing models. Recent experimental studies have revealed that Resistive Random Access Memory (RRAM) is promising alternative for DRAM. Resistive crossbar arrays possess many promising features that can not only enable high-density and low-power storage but also non Von-Neumann compute models. Most recent works focus on dot product operation with RRAM crossbar arrays, and therefore are not flexible to implement various logical functions. We propose a low-power dynamic computing in memory system which can implement various functions in Sum of Product (SOP) form in RRAM crossbar array architecture. We evaluate the proposed technique by performing simulation over wide range of MCNC benchmarks. Simulation results show 1.42X and 20X latency improvement as well as 2.6X and 12.6X power saving compared to static and MAGIC computing in memory methods.

AB - With Von-Neumann computing struggling to match the energy-efficiency of biological systems, there is pressing need to explore alternative computing models. Recent experimental studies have revealed that Resistive Random Access Memory (RRAM) is promising alternative for DRAM. Resistive crossbar arrays possess many promising features that can not only enable high-density and low-power storage but also non Von-Neumann compute models. Most recent works focus on dot product operation with RRAM crossbar arrays, and therefore are not flexible to implement various logical functions. We propose a low-power dynamic computing in memory system which can implement various functions in Sum of Product (SOP) form in RRAM crossbar array architecture. We evaluate the proposed technique by performing simulation over wide range of MCNC benchmarks. Simulation results show 1.42X and 20X latency improvement as well as 2.6X and 12.6X power saving compared to static and MAGIC computing in memory methods.

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Motaman S, Ghosh S. Dynamic Computing in Memory (DCIM) in Resistive Crossbar Arrays. In Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 179-186. 8615686. (Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018). doi: 10.1109/ICCD.2018.00036

Dynamic Computing in Memory (DCIM) in Resistive Crossbar Arrays

Abstract

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UN SDGs

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