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Advances in High Performance Computing: Results of the International Conference on “High Performance Computing” Borovets, Bulgaria, 2019: Studies in Computational Intelligence, cartea 902

Editat de Ivan Dimov, Stefka Fidanova
en Limba Engleză Hardback – 8 aug 2020
Every day we need to solve large problems for which supercomputers are needed. High performance computing (HPC) is a paradigm that allows to efficiently implement large-scale computational tasks on powerful supercomputers unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit.
Many challenging real world problems arising in engineering, economics, medicine and other areas can be formulated as large-scale computational tasks.
The volume is a comprehensive collection of extended contributions from the High performance computing conference held in Borovets, Bulgaria, September 2019.
This book presents recent advances in high performance computing. The topics of interest included into this volume are: HP software tools, Parallel Algorithms and Scalability, HPC in Big Data analytics, Modelling, Simulation & Optimization in a Data Rich Environment, Advanced numerical methods for HPC, Hybrid parallel or distributed algorithms.
The volume is focused on important large-scale applications like Environmental and Climate Modeling, Computational Chemistry and Heuristic Algorithms.
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Specificații

ISBN-13: 9783030553463
ISBN-10: 3030553469
Ilustrații: XIV, 464 p. 228 illus., 134 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.84 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Modeling and Simulation of Low Power Wireless Sensor Networks based on Generalized Nets.- WSN-based Prediction Model of Microclimate in a City Urbanized Areas based on Extreme Learning and Kalman filter.- Four Operations over Extended Intuitionistic Fuzzy Index Matrices and Some of their Applications.- Genetic Algorithm Based Formula Generation for Curve Fitting in Time Series Forecasting Implemented as Mobile Distributed Computing.- Generalized Net Model Simulation of Cluster Analysis Using CLIQUE: Clustering in Quest.- Representation of Initial Temperature as a Function in Simulated Annealing Approach for Metal Nanoparticle Structures Modeling.- An Intuitionistic Fuzzy Zero Suffix Method for Solving the Transportation Problem.

Textul de pe ultima copertă

Every day we need to solve large problems for which supercomputers are needed. High performance computing (HPC) is a paradigm that allows to efficiently implement large-scale computational tasks on powerful supercomputers unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit.
Many challenging real world problems arising in engineering, economics, medicine and other areas can be formulated as large-scale computational tasks.
The volume is a comprehensive collection of extended contributions from the High performance computing conference held in Borovets, Bulgaria, September 2019.
This book presents recent advances in high performance computing. The topics of interest included into this volume are: HP software tools, Parallel Algorithms and Scalability, HPC in Big Data analytics, Modelling, Simulation & Optimization in a Data Rich Environment, Advanced numerical methods for HPC, Hybrid parallel or distributed algorithms.
The volume is focused on important large-scale applications like Environmental and Climate Modeling, Computational Chemistry and Heuristic Algorithms.

Caracteristici

Presents recent advances in high performance computing Includes selected proceedings of the International Conference on High Performance Computing (HPC2019), held in Borovets, Bulgaria, from 2nd to 6th of September 2019 Written by experts in the field