VLSI Synthesis of Multiply and Accumulate Structures Using Distributed Arithmetic

Project Code :TVMAFE593

Objective

This paper shows how the parameter of inputs in the data path affects different MAC cores.

Abstract

This paper introduces a comprehensive study on the Very Large Scale Integration (VLSI) synthesis of Multiply and Accumulate (MAC) structures employing the innovative concept of Distributed Arithmetic (DA). MAC operations are fundamental in digital signal processing and are widely used in applications such as filters, transforms, and neural networks. The synthesis of efficient MAC units plays a pivotal role in achieving high-performance computing systems.

The key innovation in this research lies in the utilization of Distributed Arithmetic, a technique that redistributes the computational workload, resulting in compact and area-efficient MAC units. The proposed approach optimizes the use of on-chip resources by minimizing the need for complex multipliers, thus significantly reducing silicon area and power consumption.

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Keywords—Distributed Arithmetic (DA), 1BAAT (One Bit at a Time), 2BAAT (Two Bit at a Time), LUT (Look-Up Table), General Purpose Processor (GPP)

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