NoC-MRAM architecture for memory-based computing: Database-search case study
2017 15th IEEE International New Circuits and Systems Conference�…, 2017•ieeexplore.ieee.org
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�…
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�…
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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