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Communication Dans Un Congrès Année : 2017

NoC-MRAM Architecture for Memory-Based Computing: database-search case study

Résumé

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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Dates et versions

hal-01528137 , version 1 (27-05-2017)

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Citer

Mostafa Rizk, Jean-Philippe Diguet, Naoya Onizawa, Amer Baghdadi, Martha Johanna Sepulveda Florez, et al.. NoC-MRAM Architecture for Memory-Based Computing: database-search case study. NEWCAS 2017 : 15th IEEE International New Circuits and Systems Conference, Jun 2017, Strasbourg, France. ⟨10.1109/NEWCAS.2017.8010167⟩. ⟨hal-01528137⟩
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