Analog Memristive CAMs for Area-and Energy-Efficient Reconfigurable Computing
De Lima JPC, De Moura RF, Carro L (2020)
Publication Type: Journal article
Publication year: 2020
Journal
Book Volume: 67
Pages Range: 856-860
Article Number: 9046277
Journal Issue: 5
DOI: 10.1109/TCSII.2020.2983005
Abstract
Memory-based reconfigurable computing rose to outperform conventional FPGAs in logic function density, as well as being less impacted by the programmable interconnection. However, the major drawback is that the area and power overheads are significant, and this gets worse in high-density, high-performance Memory-based Computing (MBC) devices. In this brief, we investigate the usage of analog memristive CAMs to improve the area density of MBCs, thus enabling denser memories and smaller power consumption. Simulation results indicate significant area and energy savings, up to 2.2\times and 2.6\times , respectively, compared to the non-volatile counterparts, at the cost of increasing latency by up to 20%.
Involved external institutions
Brazil (BR)How to cite
APA:
De Lima, J.P.C., De Moura, R.F., & Carro, L. (2020). Analog Memristive CAMs for Area-and Energy-Efficient Reconfigurable Computing. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(5), 856-860. https://doi.org/10.1109/TCSII.2020.2983005
MLA:
De Lima, Joao Paulo Cardoso, Rafael Fao De Moura, and Luigi Carro. "Analog Memristive CAMs for Area-and Energy-Efficient Reconfigurable Computing." IEEE Transactions on Circuits and Systems II: Express Briefs 67.5 (2020): 856-860.
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