SPAA 2016 - 28th 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 Resource Management and Awareness
Game Theory and Collaborative Learning Routing and Information Dissemination
Mobile Ad-Hoc and Sensor Networks Peer-to-Peer Systems and Social Networks
Robustness and Self-Stabilization Synergy of Parallelism in Algorithms, Programming and Architectures