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173 articles for “parallel computing”
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Parallelization of Metaheuristics for the Optimization of Travelling Salesman Problem
Abstract: Travelling salesman problem is a combinatorial NP-Hard Problem. It has vast number of applications in many other fields like engineering, transportation and logistics. In the area of combinatorial Optimization Problems, it is one of the most studied problem. This Problem is acting as benchmark for many other NP-Hard Problems. Even for 20 cities CPU’s takes 100’s of years to get the optimal solution. So, for computing NP-Hard problems we require …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 2, 2021 · pp. 20–26 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article
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Hardware Design using Flexible Hk-Means
Abstract: High performance hardware is required to meet the necessities of consumer electronics. Color quantization and image partition are an inevitable part for different applications, and HKMeans is the main algorithm that is used for color quantization and image partition owing to its low cost, less computational time and the hardware area required. The computational time and the hardware area increases as the quantization number increases. Hierarchical K-means or HK-Means is …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 1, 2015 · pp. 30–35 Read article
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Modelling and Interpretation of A Novel Battery-Motor amalgamated Thermal Management System using rGO/CO3O4 based Hybrid Nano-composite Coolant for Electric Vehicle Applications
Abstract: Battery and motor have to be given equivalent importance to maintain the lifetime, thermal characteristics, efficiency and safety of Electric Vehicles (EVs). Thermal management of EVs need to be considered for battery and motor because of dynamic loading conditions. This research proposes a novel Battery-Motor Integrated Thermal Management System (BMITMS) for EV applications. An EV assembled with LiFePO4 battery pack and a three-phase induction motor has been considered on this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 225–243 Read article
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Issues and Challenges for Computing in Embedded System
Abstract: The reliability of any software system is very important for us. As we continue the process of error detection and error correction on the software system, the reliability of the software keeps on increasing. So, for modeling this growth in the reliability of any system, many formulations in the form of Software Reliability Growth Models has been proposed. Among these approaches, maximum approaches are based on NHPP. In this paper, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 2, 2018 · pp. 18–21 Read article
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A Novel Efficient VLSI Architecture for Matrix Multiplication using Compressor-based Multiplier
Abstract: Due to advancement of new technology in the field of VLSI, there is an increasing demand of high speed processor. Matrix multiplication is highly used in different types of computations. Speed of processor greatly depends on its multiplier (used in matrix multiplication) performance. Due to which high speed multiplier architecture become important. Several multiplication techniques have been developed to increase the efficiency of the multiplier. These techniques help in reducing …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 2, 2015 · pp. 23–28 Read article
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A Novel Approach for Confidence Estimation using Support Vector Machines for More Accurate Value Prediction
Abstract: Data dependencies create hurdles in exploiting instruction-level parallelism (ILP) among instructions. To overcome them, data value predictors are used which guess instructions’ result before it is actually executed. Thus, future instructions which depend on the outcome of that instruction executes sooner. But, since value prediction accuracy is very crucial in determining the amount of parallelism that can be exploited, confidence estimation is used along with it to lessen the value …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 2, 2014 · pp. 18–29 Read article
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Group-Theoretic Symmetry Indices for Modular Building Layouts under Seismic Load Redistribution
Abstract: Symmetry in modular buildings operates simultaneously as an architectural language, a structural regularizer, and a computational design variable. This paper develops a group-theoretic framework for evaluating and optimizing plan symmetry in modular buildings subjected to seismic load redistribution. The building layout is modeled as a finite occupancy–stiffness field defined on a rectangular lattice, where each module encodes both mass and stiffness contributions. Planar reflections and quarter-turn rotations are represented as …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 01–07 Read article
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Comparison of Speed Control of PMSM using Adaptive Fuzzy Logic Controller and PI Controller
Abstract: Permanent Magnet Synchronous Motors (PMSM) are widely used in low and mid power applications such as computer peripheral equipment, robotics, adjustable speed drives and electric vehicles. The growth in the market of permanent magnet motor drives has demanded the need of simulation tools capable of handling motor drive simulations. Simulations have helped the process of developing new systems including motor drives, by reducing cost and time. In a closed loop …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 3, 2018 · pp. 24–30 Read article
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Design and Simulation of Low-power, High-speed Effective Area Mux Based One-bit Full Adder Using CMOS Technology
Abstract: Our findings reveal a novel kind of circuit capable of performing both XOR and XNOR operations in parallel. Power dissipation and delay are both greatly reduced in the proposed circuits due to their low output capacitance as well as minimal short-circuit power dissipation. We show six new hybrid 1-bit full-adder (FA) circuits that take use of the XOR-XNOR or XOR/XNOR gates' special full-swing function. Each potential circuit layout has both …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 1, 2023 · pp. 25–33 Read article
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Swarm Intelligence: Nature-Inspired Problem Solving
Abstract: Swarm Intelligence (SI) is a computational paradigm inspired by the collective behavior of natural systems, such as flocks of birds, schools of fish, and colonies of ants. It involves decentralized, self- organized systems where simple agents follow simple rules, yet their interactions lead to complex global behaviors. SI has gained significant attention in recent years due to its potential applications in solving optimization problems, routing, scheduling, and artificial intelligence tasks. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 Read article
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Behavior of Surface Polaritons on Cylindrical Semiconducting Materials at Nanoscale with Radius Dependence Frequency
Abstract: Surface plasmon resonance (SPR) is a physical property of the surface to investigate the important properties of optical behaviors for nanomaterial and biomaterial. It involves the excitation of electrons within a thin metal sheet by incident light at a specific angle, prompting them to propagate parallel to the surface. This sensitivity to external factors, such as changes in the refractive index of the surrounding medium due to molecular adsorption, underscores …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 2, 2024 · pp. 1–7 Read article