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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The Annual ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) defines the term ‘parallel’ broadly, encompassing any computational system that can perform multiple operations or tasks simultaneously. Topics include, but are not limited to, Parallel and Distributed Algorithms, Parallel and Distributed Data Structures, Green Computing and Power-Efficient Architectures, Management of Massive Data Sets, Parallel Complexity Theory, Parallel and Distributed Architectures, Multi-Core Architectures, Instruction Level Parallelism and VLSI, Compilers and Tools for Concurrent Programming, Supercomputer Architecture and Computing, Transactional Memory Hardware and Software, The Internet and the World Wide Web, Game Theory and Collaborative Learning, Routing and Information Dissemination, Resource Management and Awareness, Peer-to-Peer Systems, Mobile Ad-Hoc and Sensor Networks, Robustness, Self-Stabilization and Security, Synergy of parallelism in algorithm
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The Annual ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) defines the term ‘parallel’ broadly, encompassing any computational system that can perform multiple operations or tasks simultaneously. Topics include, but are not limited to, Parallel and Distributed Algorithms, Parallel and Distributed Data Structures, Green Computing and Power-Efficient Architectures, Management of Massive Data Sets, Parallel Complexity Theory, Parallel and Distributed Architectures, Multi-Core Architectures, Instruction Level Parallelism and VLSI, Compilers and Tools for Concurrent Programming, Supercomputer Architecture and Computing, Transactional Memory Hardware and Software, The Internet and the World Wide Web, Game Theory and Collaborative Learning, Routing and Information Dissemination, Resource Management and Awareness, Peer-to-Peer Systems, Mobile Ad-Hoc and Sensor Networks, Robustness, Self-Stabilization and Security, Synergy of parallelism in algorithm