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:<br>Parallel and Distributed Algorithms Parallel and Distributed Data Structures<br>Green Computing and Power–Efficient Architectures Management of Massive Data Sets<br>Parallel Complexity Theory Parallel and Distributed Architectures<br>Multi–Core Architectures Instruction Level Parallelism and VLSI<br>Compilers and Tools for Concurrent Programming Supercomputer Architecture and Computing<br>Transactional Memory Hardware and Software Resource Management and Awareness<br>Game Theory and Collaborative Learning Routing and Information Dissemination<br>Mobile Ad–Hoc and Sensor Networks Peer–to–Peer Systems and Social Networks<br>Robustness and Self–Stabilization Synergy of Parallelism in Algorithms, Programming and Architectures<br>
Abbrevation
SPAA
City
PortlandOR
Country
United States
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