NoC-MRAM architecture for memory-based computing: Database-search case study

M. Rizk; J. Ph Diguet; N. Onizawa; A. Baghdadi; M. J. Sepulveda; Y. Akgul; V. Gripon; T. Hanyu

doi:10.1109/NEWCAS.2017.8010167

NoC-MRAM architecture for memory-based computing: Database-search case study

M. Rizk, J. Ph Diguet, N. Onizawa, A. Baghdadi, M. J. Sepulveda, Y. Akgul, V. Gripon, T. Hanyu

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

5 Citations (Scopus)

Abstract

The paper presents a novel flexible low-power architecture for memory-based computing that relies on a NoC and power-gated distributed MRAM. The proposed approach is demonstrated with a database search application implemented with a Sparse-Neural-Network (SNN). Multiple SystemC simulations have been conducted over the MRAM-based computing architecture targeting hundreds of database queries. The results show hit rates of about 95%, impressive power gains compared to SRAM, and significant impact of power-gating. The results also provide an evidence on the feasibility of using power-gated MRAM associated with a NoC as a solution for low power implementation of memory-based computing.

Original language	English
Title of host publication	Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	309-312
Number of pages	4
ISBN (Electronic)	9781509049905
DOIs	https://doi.org/10.1109/NEWCAS.2017.8010167
Publication status	Published - 2017 Aug 11
Event	15th IEEE International New Circuits and Systems Conference, NEWCAS 2017 - Strasbourg, France Duration: 2017 Jun 25 → 2017 Jun 28

Publication series

Name	Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017

Other

Other	15th IEEE International New Circuits and Systems Conference, NEWCAS 2017
Country/Territory	France
City	Strasbourg
Period	17/6/25 → 17/6/28

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Hardware and Architecture

Access to Document

10.1109/NEWCAS.2017.8010167

Cite this

Rizk, M., Diguet, J. P., Onizawa, N., Baghdadi, A., Sepulveda, M. J., Akgul, Y., Gripon, V., & Hanyu, T. (2017). NoC-MRAM architecture for memory-based computing: Database-search case study. In Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017 (pp. 309-312). [8010167] (Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NEWCAS.2017.8010167

NoC-MRAM architecture for memory-based computing : Database-search case study. / Rizk, M.; Diguet, J. Ph; Onizawa, N. et al.

Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 309-312 8010167 (Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017).

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

Rizk, M, Diguet, JP, Onizawa, N, Baghdadi, A, Sepulveda, MJ, Akgul, Y, Gripon, V & Hanyu, T 2017, NoC-MRAM architecture for memory-based computing: Database-search case study. in Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017., 8010167, Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017, Institute of Electrical and Electronics Engineers Inc., pp. 309-312, 15th IEEE International New Circuits and Systems Conference, NEWCAS 2017, Strasbourg, France, 17/6/25. https://doi.org/10.1109/NEWCAS.2017.8010167

Rizk M, Diguet JP, Onizawa N, Baghdadi A, Sepulveda MJ, Akgul Y et al. NoC-MRAM architecture for memory-based computing: Database-search case study. In Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 309-312. 8010167. (Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017). doi: 10.1109/NEWCAS.2017.8010167

Rizk, M. ; Diguet, J. Ph ; Onizawa, N. et al. / NoC-MRAM architecture for memory-based computing : Database-search case study. Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 309-312 (Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017).

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AB - The paper presents a novel flexible low-power architecture for memory-based computing that relies on a NoC and power-gated distributed MRAM. The proposed approach is demonstrated with a database search application implemented with a Sparse-Neural-Network (SNN). Multiple SystemC simulations have been conducted over the MRAM-based computing architecture targeting hundreds of database queries. The results show hit rates of about 95%, impressive power gains compared to SRAM, and significant impact of power-gating. The results also provide an evidence on the feasibility of using power-gated MRAM associated with a NoC as a solution for low power implementation of memory-based computing.

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NoC-MRAM architecture for memory-based computing: Database-search case study

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