[PDF] High Performance Optimization And Abstraction Of Large Simulation Models eBook

Author : Bernard P. Zeigler
Publisher :
Page : 124 pages
File Size : 47,31 MB
Release : 1997
Category : Genetic algorithms
ISBN :

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Modeling large scale systems with natural and artificial components requires storage of voluminous amounts of knowledge/information as well as computing speed for simulations to provide reliable answers in reasonable time. Computing technology is becoming powerful enough to support such high performance modeling and simulation. This report proposes a high performance simulation based optimization environment to support the design and modeling of large scale systems with high levels of resolution, and represents the results of contract F3O602-95-C-O25O, "Methodology for Simulation Model Abstraction."

Author : Bernard P. Zeigler
Publisher :
Page : 0 pages
File Size : 37,80 MB
Release : 1997
Category : Genetic algorithms
ISBN :

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Modeling large scale systems with natural and artificial components requires storage of voluminous amounts of knowledge/information as well as computing speed for simulations to provide reliable answers in reasonable time. Computing technology is becoming powerful enough to support such high performance modeling and simulation. This report proposes a high performance simulation based optimization environment to support the design and modeling of large scale systems with high levels of resolution, and represents the results of contract F3O602-95-C-O25O, "Methodology for Simulation Model Abstraction."

Author : Joanna Kołodziej
Publisher : Springer
Page : 364 pages
File Size : 20,69 MB
Release : 2019-03-25
Category : Computers
ISBN : 3030162729

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This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.

Author : Thomas Bartz-Beielstein
Publisher : Springer
Page : 291 pages
File Size : 50,84 MB
Release : 2019-06-01
Category : Technology & Engineering
ISBN : 3030187640

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This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research. That’s where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems.

Author : Jiang Xie
Publisher : Springer
Page : 238 pages
File Size : 48,40 MB
Release : 2016-07-19
Category : Computers
ISBN : 3319325574

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This book constitutes the thoroughly refereed proceedings of the Third International Conference on High Performance Computing and Applications, HPCA 2015, held in Shanghai, China, in July 2015. The 24 revised full papers presented were carefully reviewed and selected from 50 submissions. The papers cover the following research areas: numerical algorithms and solutions; high performance and grid computing; novel approached to high performance computing; massive data storage and processing; hardware acceleration; applications.

Author : Hans Georg Bock
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 45,87 MB
Release : 2012-02-03
Category : Computers
ISBN : 3642257070

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This proceedings volume contains a selection of papers presented at the Fourth International Conference on High Performance Scientific Computing held at the Hanoi Institute of Mathematics, Vietnamese Academy of Science and Technology (VAST), March 2-6, 2009. The conference was organized by the Hanoi Institute of Mathematics, the Interdisciplinary Center for Scientific Computing (IWR), Heidelberg, and its Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences, and Ho Chi Minh City University of Technology. The contributions cover the broad interdisciplinary spectrum of scientific computing and present recent advances in theory, development of methods, and applications in practice. Subjects covered are mathematical modelling, numerical simulation, methods for optimization and control, parallel computing, software development, applications of scientific computing in physics, mechanics, biology and medicine, engineering, hydrology problems, transport, communication networks, production scheduling, industrial and commercial problems.

Author : Slawomir Koziel
Publisher : Springer
Page : 405 pages
File Size : 48,21 MB
Release : 2016-02-12
Category : Mathematics
ISBN : 3319275178

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This edited volume is devoted to the now-ubiquitous use of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimization techniques aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical engineering, mechanical and structural engineering, civil engineering, industrial engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean science and climate modeling, and the automotive industry, where design processes are heavily based on CPU-heavy computer simulations. Various techniques, such as knowledge-based optimization, adjoint sensitivity techniques, and fast replacement models (to name just a few) are explored in-depth along with an array of the latest techniques to optimize the efficiency of the simulation-driven design process. High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design process, especially to avoid costly prototyping stages. Despite this and other advantages, the use of simulation tools in the design process is quite challenging due to associated high computational cost. The steady increase of available computational resources does not always translate into the shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. For this reason, automated simulation-driven design—while highly desirable—is difficult when using conventional numerical optimization routines which normally require a large number of system simulations, each one already expensive.

Author : Isidoro Gitler
Publisher : Springer
Page : 575 pages
File Size : 36,15 MB
Release : 2016-04-07
Category : Computers
ISBN : 3319322435

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This book constitutes the refereed proceedings of the 6th International Conference on Supercomputing, ISUM 2015, held in México, Mexico, in March 2015. The 38 revised full papers presented were carefully reviewed and selected from 102 submissions. The papers are organized in topical sections on perspectives in supercomputer infrastructure and applications; parallel algorithms and optimization; HPC applications and simulations;

Author : Hans Georg Bock
Publisher : Springer Science & Business Media
Page : 665 pages
File Size : 14,4 MB
Release : 2008-06-19
Category : Computers
ISBN : 3540794093

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This proceedings volume covers the broad interdisciplinary spectrum of scientific computing and presents recent advances in theory, development of methods, and applications in practice.