Miles : The Autobiography download
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A collection of recent computer algorithms and protocols used in distributed computing and distributed system implementation. Series: Cambridge International Series on Parallel Computation (Book 1). Hardcover: 250 pages.
A collection of recent computer algorithms and protocols used in distributed computing and distributed system implementation. Each algorithm is explained intuitively.
Cambridge Core - Algorithmics, Complexity, Computer Algebra, Computational Geometry - Introduction to Distributed Algorithms - by Gerard Te. Foundations of Software Science and Computation Structures. Gärtner, Felix C. and Pleisch, Stefan 2002.
Topics in Distributed Algorithms book. Topics in Distributed Algorithms (Cambridge International Series on Parallel Computation). 0521403766 (ISBN13: 9780521403764).
Workshop on Parallel and Distributed Algorithms, Château de Bonas Oc. G. Tel. Topics in Distributed Algorithms, volume 1 of Cambridge International Series on Parallel Computing.
Workshop on Parallel and Distributed Algorithms, Château de Bonas Oct. 1988, Elsevier, pp. 215–226, 1989. Cambridge University Press, Cambridge, .
This book is a survey of the basic techniques for approximating combinatorial problems using parallel algorithms. Its core is a collection of techniques that can be used to provide parallel approximations for a wide range of problems, such as flows, coverings, matchings, traveling salesman problems, and graphs. For added clarity, the authors provide an introductory chapter containing the basic definitions and results. A final chapter deals with problems that cannot be approximated, and the book is rounded off by an appendix that gives a convenient summary of the problems described in the book.
Introduction to Distributed Algorithms by Gerard Tel (2000-10-16). A collection of recent computer algorithms and protocols used in distributed computing and distributed system implementation. 3QVOY/?tag prabook0b-20. A collection of recent computer algorithms and protocols.
This article discusses the analysis of parallel algorithms. Like in the analysis of "ordinary", sequential, algorithms, one is typically interested in asymptotic bounds on the resource consumption (mainly time spent computing), but the analysis is performed in the presence of multiple processor units that cooperate to perform computations
This is a good collection of material to have in the library.
Computers
Math Science
Math Science
Computers
Computers
Computers
Computers
Other
Computers
Other