Title :
Complementary Resistive Switch-Based Smart Sensor Search Engine
Author :
Sang-Jin Lee ; Sung-Jin Kim ; Kyoungrok Cho ; Sung-Mo Kang ; Eshraghian, K.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Chungbuk Nat. Univ., Cheongju, South Korea
Abstract :
Sensory search engines in a variety of applications, including DNA sequencing, are beginning to influence the way new search nanoarchitectures are constructed. This paper presents a novel nanoarchitecture based on a complementary resistive switch (CRS) construct for smart sensor search engines. Detailed operational principles of CRS, CRS-based memory array, and image matching applications using the Hamming distance measure are presented along with backing simulation results. The proposed scheme draws upon the inherent windowing behavior of fabricated CRS and hence, the duty cycle thus leading to a power dissipation of 115 nW/b, which is a reduction in power consumption by almost 50% when compared with the more conventional architectures. The variation on the match line is 100 mV/Hamming distance, providing a stable reference source for comparison input and stored data.
Keywords :
computerised instrumentation; distance measurement; image matching; intelligent sensors; nanofabrication; nanosensors; search engines; CRS-based memory array; DNA sequencing; Hamming distance measure; complementary resistive switch-based smart sensor search engine; image matching application; inherent windowing behavior; nanoarchitecture; Computer architecture; Materials; Memristors; Microprocessors; Resistance; Search engines; Switches; Associative memory; CRS; complementary resistive switch; memristor;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2013.2296972