VLSI and FPGA implementation of high-speed Vedic MAC architecture using Han Carlson adder

IF 1.8 4区 工程技术 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
J. Banumathi, G. Karthy
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引用次数: 0

Abstract

The capacity of processors to withstand the problems that arise from integrating CPU cores in a single IC is an ongoing requirement for digital signal processors (DSP). DSP is utilized for many processes such as convolution, transformation, correlation, and filtering. These processes entail multiplication, and successive additions impact the execution time and arrangement performance. Thus, multiplying and accumulating units (MAC) is essential in DSP. The MAC unit is focused on high-performance processes. Finally, DSP algorithms rely heavily on the MAC’s performance. The functionality of the proposed methods is tested using a Kintex, Artix, and Virtex Field Programmable Gate Array (FPGA) in Xilinx Vivado 2022.2 and ASIC 45 nm technology. Following a thorough investigation, we determined that the Urdhva-tiryagbhyam Vedic multiplication (UVM) technique with Pipelining(P) performed better than other multipliers. The present investigation describes the development of a high-speed MAC unit for arithmetic applications that use a high-speed pipelined Vedic multiplier (VM). The MAC unit’s VM and adder blocks are constructed using the Han Carlson adder (HCA). The proposed PUVMHCA provides considerable delay reductions of 43%, 62.14%, 70.02%, and 78.64% for various bit widths. The MAC-PUVMHCA design reduces delay by 63.55% and improves area by 19.25% for 32-bit FPGA implementations.

采用汉卡尔森加法器的VLSI和FPGA实现高速吠陀MAC架构
对于数字信号处理器(DSP)来说,能够承受将CPU核心集成到单个IC中所产生的问题是一个持续的要求。DSP用于卷积、变换、相关、滤波等过程。这些过程需要乘法,连续的加法会影响执行时间和排列性能。因此,在DSP中,乘法和累积单元(MAC)是必不可少的。MAC单元专注于高性能进程。最后,DSP算法很大程度上依赖于MAC的性能。采用Xilinx Vivado 2022.2中的Kintex、Artix和Virtex现场可编程门阵列(FPGA)和45纳米ASIC技术对所提出方法的功能进行了测试。经过彻底的调查,我们确定Urdhva-tiryagbhyam吠陀乘法(UVM)技术与管道(P)比其他乘法效果更好。本研究描述了一种高速MAC单元的发展,用于使用高速流水线吠陀乘法器(VM)的算术应用。MAC单元的VM和加法器块使用汉卡尔森加法器(HCA)构造。所提出的PUVMHCA在不同的比特宽度下提供了43%、62.14%、70.02%和78.64%的显著延迟降低。MAC-PUVMHCA设计可将32位FPGA实现的延迟降低63.55%,并将面积提高19.25%。
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来源期刊
Analog Integrated Circuits and Signal Processing
Analog Integrated Circuits and Signal Processing 工程技术-工程:电子与电气
CiteScore
0.30
自引率
7.10%
发文量
141
审稿时长
7.3 months
期刊介绍: Analog Integrated Circuits and Signal Processing is an archival peer reviewed journal dedicated to the design and application of analog, radio frequency (RF), and mixed signal integrated circuits (ICs) as well as signal processing circuits and systems. It features both new research results and tutorial views and reflects the large volume of cutting-edge research activity in the worldwide field today. A partial list of topics includes analog and mixed signal interface circuits and systems; analog and RFIC design; data converters; active-RC, switched-capacitor, and continuous-time integrated filters; mixed analog/digital VLSI systems; wireless radio transceivers; clock and data recovery circuits; and high speed optoelectronic circuits and systems.
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