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• Topics
• 1. Support Tools and Environments
• 2. Performance Prediction and Evaluation
• 3. Scheduling and Load Balancing
• 4. High-Performance Architecture and Compilers
• 5. Parallel and Distributed Data Management
• 6. Grid Cluster and Cloud Computing
• 7. Peer to Peer Computing
• 8. Distributed Systems and Algorithms
• 9. Parallel and Distributed Programming
• 10. Parallel Numerical Algorithms
• 11. Multicore and Manycore Programming
• 12. Theory and Algorithms for Parallel Computation
• 13. High Performance Network and Communication
• 14. Mobile and Ubiquitous Computing
• 15. High Performance and Scientific Applications
• 16. GPU and Accelerators Computing
• Tourism

Topic 09: Parallel and Distributed Programming

Description

Developing parallel or distributed applications is a hard task and it requires advanced algorithms, realistic modeling, efficient design tools, high performance languages and libraries, and experimental evaluation. This topic provides a forum for presentation of new results and practical experience in this domain. It emphasizes research that facilitates the design and development of high-performance, correct, portable, and scalable parallel programs, as needed, for instance, in future exascale computers. Related to these central needs, we also welcome contributions that assess methods for reusability, performance prediction, large-scale deployment, self-adaptivity, and fault-tolerance.

Focus

• Innovative paradigms, libraries and languages for parallel and distributed applications
• Tools for development, monitoring, visualizing, tuning, and debugging for parallel and distributed programs
• Application-level performance models and analysis, performance portability across parallel platforms
• Programming models and techniques for heterogeneity, self-adaptivity and fault tolerance
• Large-scale experiments and validation of parallel and distributed applications
• Domain-specific libraries and languages (e.g., for simulation, irregular or unstructured domains, stream processing)
• Parallel and distributed programming productivity, reusability, and component-based parallel programming

Topic Committee

Global chair

Pierre Manneback, University of Mons, Belgium

Local chair

Thierry Gautier, INRIA, France

Vice-chairs

Partners