Very Large-Scale Integration Floor Planning on FIR and Lattice Filters Design With Multi-Objective Hybrid Optimization

Very Large-Scale Integration Floor Planning on FIR and Lattice Filters Design With Multi-Objective Hybrid Optimization

Pushpalatha Pondreti, Babulu Kaparapu
Copyright: © 2023 |Pages: 26
DOI: 10.4018/IJSIR.321237
Article PDF Download
Open access articles are freely available for download

Abstract

Floor planning is indeed an obvious design process in VLSI physical layout since it specifies the dimensions, structure, as well as positions of components upon the chip; in addition, information regarding the overarching silicon area, interlinks, and latency is also provided. VLSI floor planning is an NP-hard issue as the floor plan representations are a crucial component in this process. The intricacy, as well as solution space of the floor plan layout, is influenced by the floorplan visualizations. To tackle the VLSI floor plan challenge, numerous researchers have developed numerous meta-heuristic optimization techniques. The main objective of this work presents a novel multi-objective hybrid optimization method for solving the floor plan optimization issue. Standard DOX and ALO are conceptually combined in the proposed hybrid optimization referred to as Dingo Updated Ant Lion Optimization (DUALO) model. The multi-objectives like wire length, area, and penalty function are taken into consideration.
Article Preview
Top

1. Introduction

The art of the physical design is referred to as floor planning. Several systems have used the Very Large Scale Integration (VLSI) design approach to open up new possibilities for high-performance computing, telecommunications, and ordinary electronic devices (e.g., entertainment). Moore's Law states that as VLSI technology has advanced, the number of manufactured devices in a single integrated circuit has steadily increased. To ensure quality, stability, and extensibility, it is more important to regulate the design process due to the rise in complexity, which includes significant bookkeeping and administrative responsibilities. With recent technological advancements, system design has expanded significantly, as well as the count of transistors on a chip has surpassed the range of possible combinations. As a consequence, Physical Design has become increasingly essential throughout the VLSI designing phase (Zhang et al. 2020; Vipin 2019; Singh and Baghel 2021). Floor planning seems to be the fundamental step in the Physical Design Flow process. This specifies the positions and size of modules upon the chip to maximize the chip's surface area. One key limitation to considering the locations of the modules is that there's no overlapping between two modules (Sivaranjani and Senthil Kumar 2015; Shunmugathammal et al. 2020a; Srinivasan and Venkatesan 2021; Prakash and Lal 2021). To deal with the rising complexity of architecture, hierarchical and IP-based components are utilized, making floor planning throughout the VLSI design cycle is increasingly realistic. Researchers have recently discovered the benefits of VLSI floor planning (Vipin 2019; Lin et al. 2021a; Mohapatra et al. 2020), particularly comprising a large number of chips. The architecture that must be recognized has been put together in floor planning, and specific space should indeed be allocated with different satisfactory limits to bring things close together, thereby reducing the dead space and cost incurred (Singh and Baghel 2021; Sivaranjani and Senthil Kumar 2015). The dynamics of the model is reduced. In the integrated circuit design floor planning is the major step (Andrukhiv et al. 2020; Singhet al. 2021).

Complete Article List

Search this Journal:
Reset
Volume 15: 1 Issue (2024)
Volume 14: 3 Issues (2023)
Volume 13: 4 Issues (2022)
Volume 12: 4 Issues (2021)
Volume 11: 4 Issues (2020)
Volume 10: 4 Issues (2019)
Volume 9: 4 Issues (2018)
Volume 8: 4 Issues (2017)
Volume 7: 4 Issues (2016)
Volume 6: 4 Issues (2015)
Volume 5: 4 Issues (2014)
Volume 4: 4 Issues (2013)
Volume 3: 4 Issues (2012)
Volume 2: 4 Issues (2011)
Volume 1: 4 Issues (2010)
View Complete Journal Contents Listing