This is an era of big data with an explosion of information, and the demand for ultra-high performance computing and non-volatile storage has exploded. However, in the architecture adopted by traditional computers, the calculation and storage functions are separated and are performed by the central processing unit (CPU) and memory respectively. The speed and capacity of the CPU and memory have increased rapidly, but the increase in the speed of the bus that transmits data and instructions is very limited. On the other hand, the memory data access speed cannot keep up with the CPU's data processing speed, and this gap is getting wider, which in turn leads to the memory wall problem.
The memristor's storage and computing "fusion" mode avoids the need to transfer the calculation results through the bus to the memory or external memory for storage at each step in the traditional architecture, thereby effectively reducing frequent data access and transmission Load, reduce the power consumption of information processing, and improve the efficiency of information processing.
Therefore, people regard it as "the key to a new era of electronics." Experts at the meeting believed that the automatic memory capability and state transition characteristics of the memristor will promote the development of artificial intelligence and storage-calculation fusion computing technology.
Timis Proudromakis said that memristors are smaller and simpler than transistors, and they can also retain data by "remembering" the amount of charge through them. It is indeed an exciting discovery that has a potentially huge impact on modern electronics. It can be applied to cloud storage, Internet of Things, consumer electronics, aerospace, earth resource information, scientific computing, medical imaging and life sciences, etc. Important areas of information.
1. The application of memristor in memory
The non-volatile memory capacity is the characteristic of the memristor, so the memristor plays the most significant role in the memory. The memristor is a basic storage unit with relatively small volume and power consumption, which cannot be achieved by traditional units.
The first nano-cross-structure resistive random access memory cell based on rotaxane organic molecules was produced in 2003 by HP Labs and the University of California, Los Angeles through an imprint method. It was the beginning of the nano-cross-structure resistive random access memory entering the electronics industry. .
2. The application of memristors in analog circuits
The non-volatile memory capability of memristors has also brought new development directions in analog circuits. Traditional electronic devices such as diodes, transistors, and thermistors do not have the characteristics of memristors. These electronic devices are combined with memristors. Resistors constitute a new type of hybrid circuit, and some new functions and new features of analog circuits have also appeared, making the circuit functions more advanced and realizing more circuit functions, such as unconventional waveform generators and chaotic oscillators.
3. The application of memristors in artificial intelligence computers
The main function of the memristor is the ability to remember. In addition, the memristor can also perform logical operations. This function can combine the data processing module with the memory circuit module, thereby changing the traditional computer architecture. The reorganization of the computer system architecture has brought new impetus to the development of the computer system.
4. Application of memristor in analog neural network
In analog neural networks, synaptic functions can generally be completed by software and hardware. Compared with hardware, software is completed at a slower speed and lower overall efficiency, and is rarely used. The hardware is generally completed by analog circuits, analog-digital hybrid circuits and digital circuits. At present, the function of the memristor is the electronic device that is closest to the neuron synapse relative to other devices. Therefore, in the construction of an analog neuron network, the memristor is the most advanced and best one compared with the other implementation methods above. This realization method plays a huge driving role in the simulation of neuron network.
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