SPAA 11 Proceedings of the 23rd Annual Symposium on Parallelisms in Algorithms and Architectures
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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,...
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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