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<br>Parallel and Distributed Data Structures<br>Green Computing and Power–Efficient Architectures<br>Management of Massive Data Sets<br>Parallel Complexity Theory<br>Parallel and Distributed Architectures<br>Multi–Core Architectures<br>Instruction Level Parallelism and VLSI<br>Compilers and Tools for Concurrent Programming<br>Supercomputer Architecture and Computing<br>Transactional Memory Hardware and Software<br>The Internet and the World Wide Web<br>Game Theory and Collaborative Learning<br>Routing and Information Dissemination<br>Resource Management and Awareness<br>Peer–to–Peer Systems<br>Mobile Ad–Hoc and Sensor Networks<br>Robustness, Self–Stabilization and Security<br>Synergy of Parallelism in Algorithms, Programming and Architecture<br>
Abbrevation
SPAA
City
Prague
Country
Czechia
Deadline Paper
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Abstract