A mixed signal multiplier using A2 binary representation dedicated to neural networks applications

Hatem Boukadida, N. Hassen, Z. Gafsi, K. Besbes
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Abstract

The main goal of our work is to investigate the delay performances of redundant binary arithmetic operators using different CMOS logic and mixed signals styles. This paper presents a novel technique for A2 redundant binary multiplication in mixed-signal circuits especially for neural networks applications. The proposed multiplier consists of three cascaded blocks: Two 3-bit Arithmetic Multiplier Digital to Analog Converter (AMDAC) cells, and one 6-bit Flash ADC. Our technique indicates that this approach significantly reduces the silicon area occupied by such multipliers compared to the classical scheme using combinational multipliers. The circuit being studied is optimized for speed efficiency at 0.35μm CMOS process.
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一个使用A2二进制表示的混合信号乘法器,专用于神经网络应用
我们的工作主要目的是研究使用不同CMOS逻辑和混合信号风格的冗余二进制算术运算符的延迟性能。本文提出了一种在混合信号电路中进行A2冗余二进制乘法的新方法,特别适用于神经网络。所提出的乘法器由三个级联块组成:两个3位算术乘法器数模转换器(AMDAC)单元和一个6位Flash ADC。我们的技术表明,与使用组合乘法器的经典方案相比,这种方法显着减少了由此类乘法器占用的硅面积。所研究的电路在0.35μm CMOS工艺下优化了速度效率。
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