Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications
Aus der Reihe
Wiley Series on Parallel and Distributed Computing
156,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
12.01.2010
Verlag
Wiley-IEEE PressSeitenzahl
544 (Printausgabe)
Dateigröße
19041 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470558010
A unique investigation of the state of the art in design,
architectures, and implementations of advanced computational
infrastructures and the applications they support
Emerging large-scale adaptive scientific and engineering
applications are requiring an increasing amount of computing and
storage resources to provide new insights into complex systems. Due
to their runtime adaptivity, these applications exhibit complicated
behaviors that are highly dynamic, heterogeneous, and
unpredictable--and therefore require full-fledged
computational infrastructure support for problem solving, runtime
management, and dynamic partitioning/balancing. This book presents
a comprehensive study of the design, architecture, and
implementation of advanced computational infrastructures as well as
the adaptive applications developed and deployed using these
infrastructures from different perspectives, including system
architects, software engineers, computational scientists, and
application scientists. Providing insights into recent research
efforts and projects, the authors include descriptions and
experiences pertaining to the realistic modeling of adaptive
applications on parallel and distributed systems.
The first part of the book focuses on high-performance adaptive
scientific applications and includes chapters that describe
high-impact, real-world application scenarios in order to motivate
the need for advanced computational engines as well as to outline
their requirements. The second part identifies popular and widely
used adaptive computational infrastructures. The third part focuses
on the more specific partitioning and runtime management schemes
underlying these computational toolkits.
* Presents representative problem-solving environments and
infrastructures, runtime management strategies, partitioning and
decomposition methods, and adaptive and dynamic applications
* Provides a unique collection of selected solutions and
infrastructures that have significant impact with sufficient
introductory materials
* Includes descriptions and experiences pertaining to the
realistic modeling of adaptive applications on parallel and
distributed systems
The cross-disciplinary approach of this reference delivers a
comprehensive discussion of the requirements, design challenges,
underlying design philosophies, architectures, and
implementation/deployment details of advanced computational
infrastructures. It makes it a valuable resource for advanced
courses in computational science and software/systems engineering
for senior undergraduate and graduate students, as well as for
computational and computer scientists, software developers, and
other industry professionals.
architectures, and implementations of advanced computational
infrastructures and the applications they support
Emerging large-scale adaptive scientific and engineering
applications are requiring an increasing amount of computing and
storage resources to provide new insights into complex systems. Due
to their runtime adaptivity, these applications exhibit complicated
behaviors that are highly dynamic, heterogeneous, and
unpredictable--and therefore require full-fledged
computational infrastructure support for problem solving, runtime
management, and dynamic partitioning/balancing. This book presents
a comprehensive study of the design, architecture, and
implementation of advanced computational infrastructures as well as
the adaptive applications developed and deployed using these
infrastructures from different perspectives, including system
architects, software engineers, computational scientists, and
application scientists. Providing insights into recent research
efforts and projects, the authors include descriptions and
experiences pertaining to the realistic modeling of adaptive
applications on parallel and distributed systems.
The first part of the book focuses on high-performance adaptive
scientific applications and includes chapters that describe
high-impact, real-world application scenarios in order to motivate
the need for advanced computational engines as well as to outline
their requirements. The second part identifies popular and widely
used adaptive computational infrastructures. The third part focuses
on the more specific partitioning and runtime management schemes
underlying these computational toolkits.
* Presents representative problem-solving environments and
infrastructures, runtime management strategies, partitioning and
decomposition methods, and adaptive and dynamic applications
* Provides a unique collection of selected solutions and
infrastructures that have significant impact with sufficient
introductory materials
* Includes descriptions and experiences pertaining to the
realistic modeling of adaptive applications on parallel and
distributed systems
The cross-disciplinary approach of this reference delivers a
comprehensive discussion of the requirements, design challenges,
underlying design philosophies, architectures, and
implementation/deployment details of advanced computational
infrastructures. It makes it a valuable resource for advanced
courses in computational science and software/systems engineering
for senior undergraduate and graduate students, as well as for
computational and computer scientists, software developers, and
other industry professionals.
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