Abstract
The data movement between the processing and storage units has been one of the most critical issues in modern computer systems. The emerging Resistive Random Access Memory (RRAM) technology has drawn tremendous attention due to its non-volatile ability and the potential in computation application. These properties make them a perfect choice for application in modern computing systems. In this paper, an 8-bit radix-4 non-volatile parallel multiplier is proposed, with improved computational capabilities. The corresponding booth encoding scheme, read-out circuit, simplified Wallace tree, and Manchester carry chain are presented, which help to short the delay of the proposed multiplier. While the presence of RRAM save computational time and overall power as multiplicand is stored beforehand. The area of the proposed non-volatile multiplier is reduced with improved computing speed. The proposed multiplier has an area of 785.2 μm2 with Generic Processing Design Kit 45 nm process. The simulation results show that the proposed multiplier structure has a low computing power at 161.19 μW and a short delay of 0.83 ns with 1.2 V supply voltage. Comparative analyses are performed to demonstrate the effectiveness of the proposed multiplier design. Compared with conventional booth multipliers, the proposed multiplier structure reduces the energy and delay by more than 70% and 19%, respectively.
Highlights
In the past decade, oceans of data need to transfer and process in the big data era due to advancements in the fields of cloud computing, the Internet of Things (IoT), machine learning, and image processing
The Non-Volatile Memory (NVM) technology is emerging with variety of representative candidates such as Resistive Random Access Memory (RRAM), Ferroelectric Random Access Memory (FeRAM), Phase Change Memory (PCM), and Magnetic Random Access Memory (MRAM) [27]
We have proposed an 8-bit RRAM-based non-volatile radix-4 booth multiplier
Summary
Oceans of data need to transfer and process in the big data era due to advancements in the fields of cloud computing, the Internet of Things (IoT), machine learning, and image processing. We chose the RRAM in our multiplier design due to its potential in computation application utilizing smaller cell dimension, faster-switching speed, low I/V demands for read-write operation, and high OFF/ON resistance ratio [17]. It has higher reliability, data retention, and cycle endurance [18,19,20,21]. The rest of the paper is structured as follows: Section 2 is the related work of conventional and nonvolatile multipliers, Section 3 provides the detailed description of the proposed 8-bit non-volatile radix-4 booth multiplier, Section 4 provides the simulation results and corresponding comparison.
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