通过重合成改进基于网表转换的近似逻辑合成

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Embedded Systems Letters Pub Date : 2024-04-18 DOI:10.1109/LES.2024.3391220
Roger Morales-Monge;Jorge Castro-Godínez;Guilherme Paim
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引用次数: 0

摘要

为了应对容错应用的高效硬件设计挑战,人们提出了几种应用近似计算技术。剪枝算法旨在以可接受的结果质量下降为代价,用更低的设计要求实现近似电路。在这封信中,我们介绍了重合成(一种逻辑合成与剪枝算法的迭代应用)对最先进的近似设计流程 AxLS 的影响。重合成策略改善了近似效果,在输出误差相同的情况下,最多可节省 70% 的面积-功耗,并减少了迭代次数,从而减少了探索设计空间所需的时间,最多可减少 30 次。
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Improving Netlist Transformation-Based Approximate Logic Synthesis Through Resynthesis
To address the challenges of efficient hardware design for error-tolerant applications, several techniques of applied approximate computing have been proposed. Pruning algorithms aim to approximate circuits with reduced design requirements at the cost of an acceptable degradation of their quality of result. In this letter, we present the effects of resynthesis, an iterative application of logic synthesis along with pruning algorithms, into a state-of-the-art approximate design flow, AxLS. Resynthesis strategy improves the approximation, achieving up to 70% area-power savings for the same error in the output, and reducing the number of iterations, and hence the time required to explore the design space in up to $30\times $ , to obtain an approximated design.
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来源期刊
IEEE Embedded Systems Letters
IEEE Embedded Systems Letters Engineering-Control and Systems Engineering
CiteScore
3.30
自引率
0.00%
发文量
65
期刊介绍: The IEEE Embedded Systems Letters (ESL), provides a forum for rapid dissemination of latest technical advances in embedded systems and related areas in embedded software. The emphasis is on models, methods, and tools that ensure secure, correct, efficient and robust design of embedded systems and their applications.
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