國立高雄大學圖資館 |

Language: English

Back

Parallel algorithms in computational...

Grama, Ananth.

Parallel algorithms in computational science and engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	Parallel algorithms in computational science and engineeringedited by Ananth Grama, Ahmed H. Sameh.
other author:	Grama, Ananth.
Published:	Cham :Springer International Publishing :2020.
Description:	xii, 417 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	High performance computing.
Online resource:	https://doi.org/10.1007/978-3-030-43736-7
ISBN:	9783030437367$q(electronic bk.)

Parallel algorithms in computational science and engineering
Parallel algorithms in computational science and engineering[electronic resource] /edited by Ananth Grama, Ahmed H. Sameh. - Cham :Springer International Publishing :2020. - xii, 417 p. :ill., digital ;24 cm. - Modeling and simulation in science, engineering and technology,2164-3679. - Modeling and simulation in science, engineering and technology..

State-of-the-Art Sparse Direct Solvers -- The Effect of Various Sparsity Structures on Parallelism and Algorithms to Reveal Those Structures -- Structure-Exploiting Interior Point Methods -- Parallel Hybrid Sparse Linear System Solvers -- Computational Material Science and Engineering -- Computational Cardiovascular Analysis with the Variational Multiscale Methods and Isogeometric Discretization -- ALE and Space-Time Variational Multiscale Isogeometric Analysis of Wind Turbines and Turbomachinery -- Variational Multiscale Flow Analysis in Aerospace, Energy, and Transportation Technologies -- Multiscale Crowd Dynamics Modeling and Safety Problems Towards Parallel Computing -- HPC for Weather Forecasting -- A Simple Study of Pleasing Parallelism on Multicore Computers -- Parallel Fast Time-Domain Integral-Equation Methods for Transient Electromagnetism Analysis -- Parallel Optimization Techniques for Machine Learning.

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.

ISBN: 9783030437367$q(electronic bk.)

Standard No.: 10.1007/978-3-030-43736-7doiSubjects--Topical Terms:

211079
High performance computing.

LC Class. No.: QA76.88 / .P373 2020

Dewey Class. No.: 004.11

Parallel algorithms in computational science and engineering
LDR:03314nmm a2200337 a 4500 001 583735
003 DE-He213
005 20201117093205.0
006 m d
007 cr nn 008maaau
008 210202s2020 sz s 0 eng d
020 $a 9783030437367$q(electronic bk.)
020 $a 9783030437350$q(paper)
024 7 $a 10.1007/978-3-030-43736-7 $2 doi
035 $a 978-3-030-43736-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.88 $b .P373 2020
072 7 $a PDE $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a PDE $2 thema
082 0 4 $a 004.11 $2 23
090 $a QA76.88 $b .P222 2020
245 0 0 $a Parallel algorithms in computational science and engineering $h [electronic resource] / $c edited by Ananth Grama, Ahmed H. Sameh.
260 $a Cham : $b Springer International Publishing : $b Imprint: Birkhauser, $c 2020.
300 $a xii, 417 p. : $b ill., digital ; $c 24 cm.
490 1 $a Modeling and simulation in science, engineering and technology, $x 2164-3679
505 0 $a State-of-the-Art Sparse Direct Solvers -- The Effect of Various Sparsity Structures on Parallelism and Algorithms to Reveal Those Structures -- Structure-Exploiting Interior Point Methods -- Parallel Hybrid Sparse Linear System Solvers -- Computational Material Science and Engineering -- Computational Cardiovascular Analysis with the Variational Multiscale Methods and Isogeometric Discretization -- ALE and Space-Time Variational Multiscale Isogeometric Analysis of Wind Turbines and Turbomachinery -- Variational Multiscale Flow Analysis in Aerospace, Energy, and Transportation Technologies -- Multiscale Crowd Dynamics Modeling and Safety Problems Towards Parallel Computing -- HPC for Weather Forecasting -- A Simple Study of Pleasing Parallelism on Multicore Computers -- Parallel Fast Time-Domain Integral-Equation Methods for Transient Electromagnetism Analysis -- Parallel Optimization Techniques for Machine Learning.
520 $a 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.
650 0 $a High performance computing. $3 211079
650 0 $a Parallel programming (Computer science) $3 215285
650 1 4 $a Computational Science and Engineering. $3 274685
650 2 4 $a Linear Algebra. $3 821215
650 2 4 $a Mathematical Applications in Computer Science. $3 530811
650 2 4 $a Numerical Analysis. $3 275681
700 1 $a Grama, Ananth. $3 257079
700 1 $a Sameh, Ahmed H. $3 736708
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Modeling and simulation in science, engineering and technology. $3 569111
856 4 0 $u https://doi.org/10.1007/978-3-030-43736-7
950 $a Mathematics and Statistics (SpringerNature-11649)