The Resource Parallel Algorithms in Computational Science and Engineering, edited by Ananth Grama, Ahmed H. Sameh, (electronic resource)
Parallel Algorithms in Computational Science and Engineering, edited by Ananth Grama, Ahmed H. Sameh, (electronic resource)
Resource Information
The item Parallel Algorithms in Computational Science and Engineering, edited by Ananth Grama, Ahmed H. Sameh, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Parallel Algorithms in Computational Science and Engineering, edited by Ananth Grama, Ahmed H. Sameh, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
- 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.--
- Language
- eng
- Edition
- 1st ed. 2020.
- Extent
- 1 online resource (XII, 417 pages)
- Contents
-
- 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
- Isbn
- 9783030437367
- Label
- Parallel Algorithms in Computational Science and Engineering
- Title
- Parallel Algorithms in Computational Science and Engineering
- Statement of responsibility
- edited by Ananth Grama, Ahmed H. Sameh
- Language
- eng
- 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.--
- Assigning source
- Provided by publisher
- Image bit depth
- 0
- Literary form
- non fiction
- Nature of contents
- dictionaries
- http://library.link/vocab/relatedWorkOrContributorName
-
- Grama, Ananth
- Sameh, Ahmed H
- Series statement
-
- Modeling and Simulation in Science, Engineering and Technology,
- Springer eBooks.
- http://library.link/vocab/subjectName
-
- Computer mathematics
- Algebras, Linear
- Computer science—Mathematics
- Numerical analysis
- Label
- Parallel Algorithms in Computational Science and Engineering, edited by Ananth Grama, Ahmed H. Sameh, (electronic resource)
- Antecedent source
- mixed
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- not applicable
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 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
- Control code
- 978-3-030-43736-7
- Dimensions
- unknown
- Edition
- 1st ed. 2020.
- Extent
- 1 online resource (XII, 417 pages)
- File format
- multiple file formats
- Form of item
-
- online
- electronic
- Isbn
- 9783030437367
- Level of compression
- uncompressed
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- 189 illustrations, 159 illustrations in color.
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- System control number
- (OCoLC)1175921597
- Label
- Parallel Algorithms in Computational Science and Engineering, edited by Ananth Grama, Ahmed H. Sameh, (electronic resource)
- Antecedent source
- mixed
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- not applicable
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 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
- Control code
- 978-3-030-43736-7
- Dimensions
- unknown
- Edition
- 1st ed. 2020.
- Extent
- 1 online resource (XII, 417 pages)
- File format
- multiple file formats
- Form of item
-
- online
- electronic
- Isbn
- 9783030437367
- Level of compression
- uncompressed
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- 189 illustrations, 159 illustrations in color.
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- System control number
- (OCoLC)1175921597
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/portal/Parallel-Algorithms-in-Computational-Science-and/m96IHWwQgAU/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/Parallel-Algorithms-in-Computational-Science-and/m96IHWwQgAU/">Parallel Algorithms in Computational Science and Engineering, edited by Ananth Grama, Ahmed H. Sameh, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>
