Publications / Conference Poster

The energy scaling advantages of RRAM crossbars

Agarwal, Sapan A.; Parekh, Ojas D.; Quach, Tu-Thach Q.; James, Conrad D.; Aimone, James B.; Marinella, Matthew J.

As transistors start to approach fundamental limits and Moore's law slows down, new devices and architectures are needed to enable continued performance gains. New approaches based on RRAM (resistive random access memory) or memristor crossbars can enable the processing of large amounts of data[1, 2]. One of the most promising applications for RRAM crossbars is brain inspired or neuromorphic computing[3, 4].