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Optimization of Thermal Aware VLSI Non-Slicing Floorplanning Using Hybrid Particle Swarm Optimization Algorithm-Harmony Search Algorithm
2016
Circuits and Systems
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So, in this paper, a methodology is presented to distribute the temperature of the module on the layout while simultaneously optimizing the total area and wirelength by using a hybrid Particle Swarm Optimization-Harmony ...
Floorplanning is a prominent area in the Very Large-Scale Integrated (VLSI) circuit design automation, because it influences the performance, size, yield and reliability of the VLSI chips. ...
Particle Swarm Optimization PSO is a bio-inspired algorithm based on population [24] [25] . The algorithm starts after defining the population of candidate solutions. ...
doi:10.4236/cs.2016.75048
fatcat:yitpnapd7vbhlcrla627vkt4i4
Improved Harmony Search Algorithm for Nonslicing Floor Planning of VLSI Chip with Fixed-Outline Constraint
ENGLISH
2012
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
ENGLISH
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VLSI floor planning is an optimization problem; many optimization techniques were adopted in the literature. ...
Initially B*-tree is used to generate the primary floorplan for the given rectangular hard modules and HIS algorithm is applied to obtain an optimal solution for the efficient floorplan. ...
Particle swarm optimization (PSO) was introduced into the floorplanning problem to find the potential optimal placement solution [8]. ...
doi:10.15662/ijareeie.2012.0104018
fatcat:z4gfg66735ck3oohettjaaawtq
VLSI Floorplan Area Optimization using Swarm Intelligence
2020
Bioscience Biotechnology Research Communications
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In this paper Particle Swarm Optimization (PSO) algorithm is proposed. ...
PSO is an effective swarm intelligence search method which explores the search space during the optimization process to find a near optimal solution. ...
This paper proposes a PSO algorithm for VLSI floorplan area optimization. ...
doi:10.21786/bbrc/13.13/16
fatcat:mhyvzayq4naklhrzupn75o4ryq
Music-Inspired Harmony Search Algorithm For Fixed Outline Non-Slicing Vlsi Floorplanning
2015
Zenodo
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Since VLSI floorplanning is an NP-hard problem, many optimization techniques were adopted in the literature. ...
Floorplanning plays a vital role in the physical design process of Very Large Scale Integrated (VLSI) chips. ...
Particle Swarm Optimization (PSO) was introduced into the floorplanning problem to find the potential optimal placement solution [21] . ...
doi:10.5281/zenodo.1107443
fatcat:xywazsvarzgexma3hjfle6g5h4
An Adaptive Symbiosis based Metaheuristics for Combinatorial Optimization in VLSI
2020
Procedia Computer Science
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This research work contemplates the problem of VLSI floorplanning and solves the mentioned problem with a symbiosis based metaheuristics. ...
With the proposed algorithm, in the pro blem of VLSI floorplanning, wirelength and area were considered as the objectives that were optimized which eventually resulted in the minimization of dead space ...
Moreover, a hybrid version of particle swarm optimization and genetic algorithm was adopted in [14] to solve the same problem of VLSI floorplanning. ...
doi:10.1016/j.procs.2020.03.197
fatcat:5d5kbkeimfbnfl26kxgu3gwiw4
A Novel High Speed Simulated Annealing Algorithm for Non-Slicing VLSI Floorplanning using B*-Tree Representation
2016
Indian Journal of Science and Technology
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Methods/Statistical Analysis: Floorplanning is one of the most important steps in physical design automation in very large scale integration (VLSI) and to solve the problem of VLSI floorplanning is an ...
Many computer-aided design algorithms are developed for the NP-hard problems like VLSI floorplanning. ...
VLSI floorplanning problem is NP-hard problem 4 and to find the optimal solution by global exploration of search space is impossible as search space is increasing exponentially with the scale of the ...
doi:10.17485/ijst/2016/v9i48/94334
fatcat:ijislck7tvh2ldpdexys2gbyai
Non Slicing Floorplan Representations in VLSI Floorplanning: A Summary
2013
International Journal of Computer Applications
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This survey paper gives an up-to-date account on various nonslicing floorplan representations in VLSI floorplanning. General Terms VLSI floorplanning, non-slicing floorplan, slicing floorplan. ...
Floorplan representation is a fundamental issue in designing a VLSI floorplanning algorithm as the representation has a great impact on the feasibility and complexity of floorplan designs. ...
Guolong Chen et. al. (2009) [36] proposed a novel intelligent decision algorithm based on the particle swarm optimization (PSO) technique to obtain a feasible floorplanning in VLSI circuit physical ...
doi:10.5120/12433-8962
fatcat:wz6dfvhazrfdhepa44m7tbyb6u
Performance evaluation of heuristic algorithms in floor planning for ASIC design
2017
International Journal of Engineering & Technology
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A study on physical design of VLSI Floor planning is discussed using optimization techniques for betterment in performance of VLSI chip. ...
The floor plan representations show greater impact on the search space and the complexity of the floor plan design. ...
In this, an different version of Particle Swarm Optimization algorithm called (ARPSO) "Attractive and Repulsive Particle Swarm Optimization Algorithm". ...
doi:10.14419/ijet.v7i1.5.9122
fatcat:xuffvmbsn5gk3ab4libtdop4ee
An Improved Particle Swarm Optimizer for Placement Constraints
2008
Journal of Artificial Evolution and Applications
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This paper presents a macrocell placement constraint and overlap removal methodology using an improved particle swarm optimization (PSO). ...
The proposed approach exhibits rapid convergence and leads to more optimal solutions than other related approaches; furthermore, it displays efficient packing with all the constraints satisfied. ...
PARTICLE SWARM OPTIMIZATION (PSO) The PSO is a population-based optimization technique that was proposed by Eberhart and Kennedy [17] in 1995, in which the population is referred to as a swarm. ...
doi:10.1155/2008/514879
fatcat:vjubln54uzg53g5uwt6nwwghz4
SIMULATED ANNEALING ALGORITHM FOR MODERN VLSI FLOORPLANNING PROBLEM
2016
ICTACT Journal on Microelectronics
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This paper concentrates on area optimization. The goal of the physical design process is to design the VLSI chip with minimum area. ...
Generally, there are so many strategies in VLSI floorplanning like area optimization, wirelength optimization, power optimization, temperature optimization and etc. ...
So, as a future work, we aim to study other algorithms like Genetic algorithm, Particle Swarm Optimization algorithm, Cuckoo search algorithm to solve this modern VLSI floorplanning problem with less computational ...
doi:10.21917/ijme.2016.0030
fatcat:gscdbbgrsnf7rmxq4ltbesx3ra
Cost reduction in bottom-up hierarchical-based VLSI floorplanning designs
2013
International journal of circuit theory and applications
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Based on Gigascale Systems Research Center and Microelectronics Center of North Carolina circuit benchmarks, CABF gives better optimal solutions and faster runtimes for floorplanning problems involving ...
difference-based cost function (one-dimensional) which simplifies the computation. ...
EMPIRICAL VALIDATIONS AND DISCCUSIONS
Genetic Algorithm Floorplanner (ENDSGA) [61], Discrete Particle Swarm Optimization (DPSO) [62],
Evolutionary Simulated Annealing (ESA) [63] and Hybrid Simulated ...
doi:10.1002/cta.1939
fatcat:6p4yafvyhzfdzd7p3pm4yof36e
Torus Topology based Fault-Tolerant Network-on-Chip Design with Flexible Spare Core Placement
2018
2018 14th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)
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By considering this we propose a metaheuristic based Particle Swarm Optimization (PSO) technique to find suitable position for the spare core that minimizes the communication cost. ...
To overcome these issues, Network-on-Chip (NoC) based communication architecture is introduced. ...
DISCRETE PARTICLE SWARM OPTIMIZATION Particle Swarm Optimization (PSO) [12] is a population based stochastic technique designed and developed by Eberhart and Kennedy in 1995. ...
doi:10.1109/prime.2018.8430343
dblp:conf/prime/BhanuKJCI18
fatcat:4q6hb6crobfstnyxcwswqoaioa
Satisfiability Modulo Theory based Methodology for Floorplanning in VLSI Circuits
[article]
2017
arXiv
pre-print
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This paper proposes a Satisfiability Modulo Theory based formulation for floorplanning in VLSI circuits. ...
Satisfiability Modulo Theory combines the problem of Boolean satisfiability with domains such as convex optimization. ...
Chen [2] have solved the floorplanning problem using particle swarm optimization which is a population based evolutionary algorithm. Their objective is also to minimize the area of hard blocks. ...
arXiv:1709.07241v1
fatcat:pedzuk4mrrhhtjl4cfvo3ygdoy
A Survey of Swarm Intelligence Techniques in VLSI Routing Problems
2020
IEEE Access
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INDEX TERMS Particle swarm optimization, swarm intelligence, routing, very large scale integration, Steiner tree construction. ...
Routing is a complex and critical stage in the physical design of Very Large Scale Integration (VLSI), minimizing interconnect length and delay to optimize overall chip performance. ...
[51] proposed a routing algorithm based on discrete particle swarm optimization (DPSO-RA), aiming at length and the bound of connectivity rate. ...
doi:10.1109/access.2020.2971574
fatcat:dzzk57taubfqjpd2qzycxsenhq
GenFloor: Interactive Generative Space Layout System via Encoded Tree Graphs
[article]
2021
arXiv
pre-print
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Furthermore, we illustrate the performance of GenFloor in two sets of case-study experiments for residential floorplanning tasks by (a) measuring the ability of the proposed system to find a known optimal ...
In this paper, we introduce GenFloor, an interactive design system that takes geometrical, topological, and performance goals and constraints as input and provides optimized spatial design solutions as ...
Swarm Optimization (PSO) [67, 11, 33, 66, 53] . ...
arXiv:2102.10320v1
fatcat:5kiuu2cnnbe37ggwd6t3tyrwyy
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