Title :
A new memristor model for content addressable memory
Author :
Wanlong Chen ; Xiao Yang ; Wang, Frank Z.
Author_Institution :
Sch. of Comput., Univ. of Kent, Canterbury, UK
Abstract :
Memristor is an emerging topic that has experienced a great development in the last few years. The concept of memristor was introduced as the fourth fundamental circuit element by Prof. Chua in the year 1971. A memristor could be one kind of electronic devices of novel nano-scale structures, which could be used in many applications, such as associative memories and neural networks. Among the emerging nano-technologies, memristors have become a very promising candidate because of its shorter switching time, higher capacity and lower power consumption. In this paper, we introduce that a new window function can be used to model the memristor based content addressable memory. Different memristive applications may require different memristor models, which are sufficiently accurate and simple for computing. This model could fit specific chemical materials in content addressable memory. In some cases, this model is more authentic and flexible than those existing memristor models for content addressable memory.
Keywords :
content-addressable storage; memristors; neural nets; associative memories; electronic devices; fundamental circuit element; memristive applications; memristor based content addressable memory; memristor model; nanoscale structures; nanotechnology; neural networks; power consumption; switching time; window function; Associative memory; Computational modeling; Educational institutions; Integrated circuit modeling; Mathematical model; Memristors; Numerical models; Memristor simulation; macromodel; memristive system; mod-elling; model; window function;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2014 IEEE 15th International Symposium on
Conference_Location :
Budapest
DOI :
10.1109/CINTI.2014.7028699