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Parallel Algorithms In Computational Science And Engineering

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Parallel Algorithms in Computational Science and Engineering

Parallel Algorithms in Computational Science and Engineering Book
Author : Ananth Grama,Ahmed H. Sameh
Publisher : Springer Nature
Release : 2020-07-06
ISBN : 3030437361
File Size : 52,8 Mb
Language : En, Es, Fr and De

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Book Summary :

This contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications. The first few chapters explore algorithms, numerical techniques, and their parallel formulations for a variety of kernels that arise in applications. The rest of the volume focuses on state-of-the-art applications from diverse domains. By structuring the volume around these two areas, it presents a comprehensive view of the application landscape for high-performance computing, while also enabling readers to develop new applications using the kernels. Readers will learn how to choose the most suitable parallel algorithms for any given application, ensuring that theory and practicality are clearly connected. Applications using these techniques are illustrated in detail, including: Computational materials science and engineering Computational cardiovascular analysis Multiscale analysis of wind turbines and turbomachinery Weather forecasting Machine learning techniques Parallel Algorithms in Computational Science and Engineering will be an ideal reference for applied mathematicians, engineers, computer scientists, and other researchers who utilize high-performance computing in their work.

Parallel Computing Accelerating Computational Science and Engineering CSE

Parallel Computing  Accelerating Computational Science and Engineering  CSE  Book
Author : M. Bader,A. Bode,H.-J. Bungartz
Publisher : IOS Press
Release : 2014-03-31
ISBN : 1614993815
File Size : 34,5 Mb
Language : En, Es, Fr and De

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Book Summary :

Parallel computing has been the enabling technology of high-end machines for many years. Now, it has finally become the ubiquitous key to the efficient use of any kind of multi-processor computer architecture, from smart phones, tablets, embedded systems and cloud computing up to exascale computers. _x000D_ This book presents the proceedings of ParCo2013 – the latest edition of the biennial International Conference on Parallel Computing – held from 10 to 13 September 2013, in Garching, Germany. The conference focused on several key parallel computing areas. Themes included parallel programming models for multi- and manycore CPUs, GPUs, FPGAs and heterogeneous platforms, the performance engineering processes that must be adapted to efficiently use these new and innovative platforms, novel numerical algorithms and approaches to large-scale simulations of problems in science and engineering._x000D_ The conference programme also included twelve mini-symposia (including an industry session and a special PhD Symposium), which comprehensively represented and intensified the discussion of current hot topics in high performance and parallel computing. These special sessions covered large-scale supercomputing, novel challenges arising from parallel architectures (multi-/manycore, heterogeneous platforms, FPGAs), multi-level algorithms as well as multi-scale, multi-physics and multi-dimensional problems._x000D_ It is clear that parallel computing – including the processing of large data sets (“Big Data”) – will remain a persistent driver of research in all fields of innovative computing, which makes this book relevant to all those with an interest in this field.

Parallel Algorithms and Cluster Computing

Parallel Algorithms and Cluster Computing Book
Author : Karl Heinz Hoffmann,Arnd Meyer
Publisher : Springer Science & Business Media
Release : 2007-06-24
ISBN : 3540335412
File Size : 36,8 Mb
Language : En, Es, Fr and De

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Book Summary :

This book presents advances in high performance computing as well as advances accomplished using high performance computing. It contains a collection of papers presenting results achieved in the collaboration of scientists from computer science, mathematics, physics, and mechanical engineering. From science problems to mathematical algorithms and on to the effective implementation of these algorithms on massively parallel and cluster computers, the book presents state-of-the-art methods and technology, and exemplary results in these fields.

Parallel Algorithms in Computational Science

Parallel Algorithms in Computational Science Book
Author : Dieter W. Heermann,Anthony N. Burkitt
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 3642762654
File Size : 43,6 Mb
Language : En, Es, Fr and De

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Book Summary :

Our aim in this book is to present and enlarge upon those aspects of parallel computing that are needed by practitioners of computational science. Today al most all classical sciences, such as mathematics, physics, chemistry and biology, employ numerical methods to help gain insight into nature. In addition to the traditional numerical methods, such as matrix inversions and the like, a whole new field of computational techniques has come to assume central importance, namely the numerical simulation methods. These methods are much less fully developed than those which are usually taught in a standard numerical math ematics course. However, they form a whole new set of tools for research in the physical sciences and are applicable to a very wide range of problems. At the same time there have been not only enormous strides forward in the speed and capability of computers but also dramatic new developments in computer architecture, and particularly in parallel computers. These improvements offer exciting prospects for computer studies of physical systems, and it is the new techniques and methods connected with such computer simulations that we seek to present in this book, particularly in the light of the possibilities opened up by parallel computers. It is clearly not possible at this early stage to write a definitive book on simulation methods and parallel computing.

The Characteristics of Parallel Algorithms

The Characteristics of Parallel Algorithms Book
Author : Leah H. Jamieson,Dennis B. Gannon,Robert J. Douglass
Publisher : Mit Press
Release : 1987
ISBN : 0987650XXX
File Size : 33,6 Mb
Language : En, Es, Fr and De

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Book Summary :

Although there has been a tremendous growth of interest in parallel architecture and parallel processing in recent years, comparatively little work has been done on the problem of characterizing parallelism in programs and algorithms. This book, a collection of original papers, specifically addresses that topic.The editors and two dozen other contributors have produced a work that cuts across numerical analysis, artificial intelligence, and database management, speaking to questions that lie at the heart of current research in these and many other fields of knowledge: How much commonality in algorithm structure is there across problem domains? What attributes of algorithms are the most important in dictating the structure of a parallel algorithm? How can algorithms be matched with languages and architectures? Their book provides an important starting place for a comprehensive taxonomy of parallel algorithms.The authors are all in the Department of Electrical Engineering at Purdue University. Leah H. Jamieson is a professor, Dennis Gannon an associate professor, and Robert Douglass head of Machine Intelligence. The Characteristics of Parallel Algorithms is included in the Scientific Computation Series, edited by Dennis Gannon.

Parallel Processing for Scientific Computing

Parallel Processing for Scientific Computing Book
Author : Michael A. Heroux,Padma Raghavan,Horst D. Simon
Publisher : SIAM
Release : 2006-01-01
ISBN : 9780898718133
File Size : 49,8 Mb
Language : En, Es, Fr and De

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Book Summary :

Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.

Recent Trends in Computational Engineering CE2014

Recent Trends in Computational Engineering   CE2014 Book
Author : Miriam Mehl,Manfred Bischoff,Michael Schäfer
Publisher : Springer
Release : 2015-10-12
ISBN : 3319229974
File Size : 21,8 Mb
Language : En, Es, Fr and De

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Book Summary :

This book presents selected papers from the 3rd International Workshop on Computational Engineering held in Stuttgart from October 6 to 10, 2014, bringing together innovative contributions from related fields with computer science and mathematics as an important technical basis among others. The workshop discussed the state of the art and the further evolution of numerical techniques for simulation in engineering and science. We focus on current trends in numerical simulation in science and engineering, new requirements arising from rapidly increasing parallelism in computer architectures, and novel mathematical approaches. Accordingly, the chapters of the book particularly focus on parallel algorithms and performance optimization, coupled systems, and complex applications and optimization.

Inherently Parallel Algorithms in Feasibility and Optimization and their Applications

Inherently Parallel Algorithms in Feasibility and Optimization and their Applications Book
Author : D. Butnariu,S. Reich,Y. Censor
Publisher : Elsevier
Release : 2001-06-18
ISBN : 9780080508764
File Size : 34,9 Mb
Language : En, Es, Fr and De

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Book Summary :

The Haifa 2000 Workshop on "Inherently Parallel Algorithms for Feasibility and Optimization and their Applications" brought together top scientists in this area. The objective of the Workshop was to discuss, analyze and compare the latest developments in this fast growing field of applied mathematics and to identify topics of research which are of special interest for industrial applications and for further theoretical study. Inherently parallel algorithms, that is, computational methods which are, by their mathematical nature, parallel, have been studied in various contexts for more than fifty years. However, it was only during the last decade that they have mostly proved their practical usefulness because new generations of computers made their implementation possible in order to solve complex feasibility and optimization problems involving huge amounts of data via parallel processing. These led to an accumulation of computational experience and theoretical information and opened new and challenging questions concerning the behavior of inherently parallel algorithms for feasibility and optimization, their convergence in new environments and in circumstances in which they were not considered before their stability and reliability. Several research groups all over the world focused on these questions and it was the general feeling among scientists involved in this effort that the time has come to survey the latest progress and convey a perspective for further development and concerted scientific investigations. Thus, the editors of this volume, with the support of the Israeli Academy for Sciences and Humanities, took the initiative of organizing a Workshop intended to bring together the leading scientists in the field. The current volume is the Proceedings of the Workshop representing the discussions, debates and communications that took place. Having all that information collected in a single book will provide mathematicians and engineers interested in the theoretical and practical aspects of the inherently parallel algorithms for feasibility and optimization with a tool for determining when, where and which algorithms in this class are fit for solving specific problems, how reliable they are, how they behave and how efficient they were in previous applications. Such a tool will allow software creators to choose ways of better implementing these methods by learning from existing experience.