Algorithms and Architectures for Parallel Processing, Part I Algorithms and Architectures for Parallel Processing, Part I

Algorithms and Architectures for Parallel Processing, Part I

Yang Xiang والمزيد
    • ‏79٫99 US$
    • ‏79٫99 US$

وصف الناشر

This two volume set LNCS 7016 and LNCS 7017 constitutes the refereed proceedings of the 11th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2011, held in Melbourne, Australia, in October 2011.
The first volume presents 24 revised regular papers and 17 revised short papers together with the abstract of the keynote lecture - all carefully reviewed and selected from 85 initial submissions. The papers cover the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental results, and commercial components and systems and focus on two broad areas of parallel and distributed computing, i.e., architectures, algorithms and networks, and systems and applications.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٢٣ أكتوبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Algorithms and Architectures for Parallel Processing Algorithms and Architectures for Parallel Processing
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High Performance Computing and Communications High Performance Computing and Communications
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Euro-Par 2009 - Parallel Processing Euro-Par 2009 - Parallel Processing
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High Performance Computing – HiPC 2007 High Performance Computing – HiPC 2007
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Euro-Par 2011 Parallel Processing Euro-Par 2011 Parallel Processing
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Algorithms and Architectures for Parallel Processing Algorithms and Architectures for Parallel Processing
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Honeypot Frameworks and Their Applications: A New Framework Honeypot Frameworks and Their Applications: A New Framework
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Information and Communications Security Information and Communications Security
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Information and Communications Security Information and Communications Security
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Information and Communications Security Information and Communications Security
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Machine Learning for Cyber Security Machine Learning for Cyber Security
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Security and Privacy in Social Networks and Big Data Security and Privacy in Social Networks and Big Data
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