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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Manish Parashar, PhD, is Professor of Electrical and Computer Engineering at Rutgers University, where he is also the director of the Applied Software Systems Laboratory and director of the NSF Center for Autonomic Computing. He has received numerous awards, including the Rutgers Board of Trustees Award for Excellence in Research (2004-2005) and the NSF CAREER Award (1999).
Xiaolin Li, PhD, is Assistant Professor of Computer Science at Oklahoma State University.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
EUR 29,02 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisEUR 11,61 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisVendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. 1st edition. 518 pages. 9.50x6.00x1.00 inches. In Stock. N° de réf. du vendeur zk0470072946
Quantité disponible : 1 disponible(s)
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Hardcover. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA77504700729466
Quantité disponible : 1 disponible(s)