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Springer Scheduling in Parallel Computing Systems Book

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Description

Explore advanced methods for managing complex workloads with Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques. Published by Springer, this volume examines the effectiveness of fuzzy and annealing methods when applied to scheduling problems within parallel computing environments. The text introduces new techniques for both static and dynamic scheduling. By utilizing emerging paradigms inspired by natural phenomena, such as fuzzy logic, mean-field annealing, and simulated annealing, the book provides a foundation for building more adaptive systems. These intelligent systems are designed to respond to sudden changes in their environments, offering a more robust approach to modern computing challenges. This resource is an essential addition for those studying computer science architecture and microprocessor systems.

Key Features

Covers new techniques for both static and dynamic scheduling to manage parallel computing workloads.

Explores paradigms inspired by natural phenomena like fuzzy logic and simulated annealing.

Discusses the development of intelligent systems that adapt to sudden environmental changes.

Provides insight into mean-field annealing and its application in computing systems.

Part of the Springer International Series in Engineering and Computer Science.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
11 October 2012
Listed Since
03 March 2013

Barcode

No barcode data available

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