Title :
Memristor: the enabler of computation-in-memory architecture for big-data
Author :
Said Hamdioui;Mottaqiallah Taouil;Hoang Anh Du Nguyen;Adib Haron;Lei Xie;Koen Bertels
Author_Institution :
Computer Engineering, Delft University of Technology, the Netherlands
fDate :
11/1/2015 12:00:00 AM
Abstract :
This paper briefly discusses a new architecture, Computation-In-Memory (CIM Architecture), for specific data-intensive applications; it is based on the integration of storage and computation in the same physical location (crossbar topology) and the use of non-volatile resistive-switching technology (memristive devices or memristors in short) instead of CMOS technology. The architecture has the potential of improving the energy-delay product, computing efficiency and performance area by at least two orders of magnitude.
Keywords :
"Computer architecture","Memristors","CMOS integrated circuits","Random access memory","Computers","CMOS technology"
Conference_Titel :
Memristive Systems (MEMRISYS) 2015 International Conference on
DOI :
10.1109/MEMRISYS.2015.7378391