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.
http://www.amazon.com/Computational-Infrastructures-Distributed-Applications-Computing/dp/0470072946
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