Title :
Fast computation with memory circuit elements
Author :
Ventra, Massimiliano Di ; Pershin, Yuriy V.
Author_Institution :
Dept. of Phys., Univ. of California, San Diego, La Jolla, CA, USA
Abstract :
Memory circuit elements - resistors, capacitors and inductors with memory - are electronic components with great potential in a wide range of applications. In particular, they are ideally suited to enhance all three major computing paradigms: binary, analog and quantum. Here, we consider how to achieve a faster computation with these elements. Specifically, we will show that a binary logic architecture combining memristive and memcapacitive elements requires considerably less steps to process information compared to architectures employing only memristive elements. In addition, we demonstrate that a network of memristive - as well as memcapacitive or meminductive - systems can solve a complex optimization problem - the maze problem - with unprecedented speed due to the analog parallelism afforded by these elements.
Keywords :
integrated memory circuits; logic circuits; memristors; optimisation; analog parallelism; binary logic architecture; capacitors; complex optimization problem; electronic components; fast computation; inductors; maze problem; memcapacitive elements; memory circuit elements; memristive elements; resistors; Computer architecture; Logic gates; Materials; Memristors; Nanoscale devices; Optimization; Switches;
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
Conference_Location :
Turin
Print_ISBN :
978-1-4673-0287-6
DOI :
10.1109/CNNA.2012.6331429