Advances in High Performance Computing -

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Résumé :
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.

Sommaire:
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 ?lter.- 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 S?x Method for Solving the Transportation Problem.