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

Authors
  • RIZK, Mostafa
  • Diguet, Jean-Philippe
  • ONIZAWA, Naoya
  • Baghdadi, Amer
  • Sepulveda Florez, Martha Johanna
  • Akgul, Yeter
  • Gripon, Vincent
  • HANYU, Takahiro
Publication Date
Jun 25, 2017
Source
HAL-UPMC
Keywords
Language
English
License
Unknown
External links

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.

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