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DISC, the International Symposium on DIStributed Computing, is an annual forum for research presentations on all facets of distributed computing. DISC 2000 was held on4-6 October, 2000 in Toledo, Spain. This volume includes 23 contributed papers and the extended abstract of an invited lecture from last year's DISC. It is expected that the regular papers will later be submitted in a more polished form to fully refereed scienti?c journals. The extended abstracts of this year's invited lectures, by Jean-Claude Bermond and Sam Toueg, will appear in next year's proceedings. We received over 100 regular submissions, a record for DISC. These s- missions were read and evaluated by the program committee, with the help of external reviewers when needed. Overall, the quality of the submissions was excellent, and we were unable to accept many deserving papers. This year's Best Student Paper award goes to "Polynomial and Adaptive Long-Lived (2k?1)-Renaming" by Hagit Attiya and Arie Fouren. Arie Fouren is the student author.
"Distributed Computing Through Combinatorial Topology" describes techniques for analyzing distributed algorithms based on award winning combinatorial topology research. The authors present a solid theoretical foundation relevant to many real systems reliant on parallelism with unpredictable delays, such as multicore microprocessors, wireless networks, distributed systems, and Internet protocols. Today, a new student or researcher must assemble a collection of
scattered conference publications, which are typically terse and
commonly use different notations and terminologies. This book
provides a self-contained explanation of the mathematics to readers
with computer science backgrounds, as well as explaining computer
science concepts to readers with backgrounds in applied
mathematics. The first section presents mathematical notions and
models, including message passing and shared-memory systems,
failures, and timing models. The next section presents core
concepts in two chapters each: first, proving a simple result that
lends itself to examples and pictures that will build up readers'
intuition; then generalizing the concept to prove a more
sophisticated result. The overall result weaves together and
develops the basic concepts of the field, presenting them in a
gradual and intuitively appealing way. The book's final section
discusses advanced topics typically found in a graduate-level
course for those who wish to explore further.
The Art of Multiprocessor Programming, Second Edition, provides users with an authoritative guide to multicore programming. This updated edition introduces higher level software development skills relative to those needed for efficient single-core programming, and includes comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. The book is an ideal resource for students and professionals alike who will benefit from its thorough coverage of key multiprocessor programming issues.
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