A memristor-based architecture combining memory and image processing  

作　　者：ZHOU Jing YANG XueJun WU JunJie ZHU Xuan FANG XuDong HUANG Da 

机构地区：[1]School of Computer, National University of Defense Technology [2]State Key Laboratory of High Performance Computing, National University of Defense Technology

出　　处：《Science China(Information Sciences)》2014年第5期179-190,共12页中国科学（信息科学）（英文版）

基　　金：supported by Science Fund for Creative Research Groups of National Natural Science Foundation of China(Grant No.60921062)

摘　　要：Image processing is a type of memory-access-intensive application and is applied in many fields. Logic operations are very simple ones in image processing. During these operations, memory access takes a majority of the total time consumed, which puts a great pressure on memory access speed and bandwidth. However, in traditional yon Neumann architecture, memory access is the inherent bottleneck of the system; that is, the speed of memory＇s data supply is far lower than the data request of processor. Memristor is considered to be the fourth circuit element after resistor, capacitor and inductor. It has the capacity of both processing and memory, which supplies a new idea for solving the ＂memory wall＂ problem. In this paper, memristor is used to build an architecture combining computing and memory, where the memory has the ability to handle some simple image processing operations. This architecture can reduce readings and writings of memory effectively, which saves memory bandwidth thus improving the efficiency of the system. Logic operations of images are considered in this paper to validate the architecture. The experimental results and theoretical analysis indicate that the architecture can reduce memory access effectively.Image processing is a type of memory-access-intensive application and is applied in many fields. Logic operations are very simple ones in image processing. During these operations, memory access takes a majority of the total time consumed, which puts a great pressure on memory access speed and bandwidth. However, in traditional yon Neumann architecture, memory access is the inherent bottleneck of the system; that is, the speed of memory＇s data supply is far lower than the data request of processor. Memristor is considered to be the fourth circuit element after resistor, capacitor and inductor. It has the capacity of both processing and memory, which supplies a new idea for solving the ＂memory wall＂ problem. In this paper, memristor is used to build an architecture combining computing and memory, where the memory has the ability to handle some simple image processing operations. This architecture can reduce readings and writings of memory effectively, which saves memory bandwidth thus improving the efficiency of the system. Logic operations of images are considered in this paper to validate the architecture. The experimental results and theoretical analysis indicate that the architecture can reduce memory access effectively.

关 键 词：MEMRISTOR image processing computer architecture read and write circuit logic operation 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP333[自动化与计算机技术—计算机科学与技术]