Task Scheduling for Parallel Systems
Oliver Sinnen
Verkauft von Kennys Bookstore, Olney, MD, USA
AbeBooks-Verkäufer seit 9. Oktober 2009
Neu - Hardcover
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Anzahl: Mehr als 20 verfügbar
In den Warenkorb legenVerkauft von Kennys Bookstore, Olney, MD, USA
AbeBooks-Verkäufer seit 9. Oktober 2009
Zustand: Neu
Anzahl: Mehr als 20 verfügbar
In den Warenkorb legenExtending beyond the classic approach by focusing on more advanced, accurate, and realistic models, this book investigates the concepts and techniques of task scheduling by developing a consistent and unifying theoretical framework. Series: Wiley Series on Parallel and Distributed Computing. Num Pages: 296 pages, Illustrations. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 242 x 155 x 25. Weight in Grams: 564. . 2007. Hardback. . . . . Books ship from the US and Ireland.
Bestandsnummer des Verkäufers V9780471735762
Task scheduling for parallel systems can become a quagmire of heuristics, models, and methods that have been developed over the past decades. The author of this innovative text cuts through the confusion and complexity by presenting a consistent and comprehensive theoretical framework along with realistic parallel system models. These new models, based on an investigation of the concepts and principles underlying task scheduling, take into account heterogeneity, contention for communication resources, and the involvement of the processor in communications.
For readers who may be new to task scheduling, the first chapters are essential. They serve as an excellent introduction to programming parallel systems, and they place task scheduling within the context of the program parallelization process. The author then reviews the basics of graph theory, discussing the major graph models used to represent parallel programs. Next, the author introduces his task scheduling framework. He carefully explains the theoretical background of this framework and provides several examples to enable readers to fully understand how it greatly simplifies and, at the same time, enhances the ability to schedule.
The second half of the text examines both basic and advanced scheduling techniques, offering readers a thorough understanding of the principles underlying scheduling algorithms. The final two chapters address communication contention in scheduling and processor involvement in communications.
Each chapter features exercises that help readers put their new skills into practice. An extensive bibliography leads to additional information for further research. Finally, the use of figures and examples helps readers better visualize and understand complex concepts and processes.
Researchers and students in distributed and parallel computer systems will find that this text dramatically improves their ability to schedule tasks accurately and efficiently.
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