Topic 8: Parallel and Distributed Programming, Interfaces and Languages

Developing parallel or distributed applications is a difficult task, which requires adequate programming abstractions and models, efficient design tools, parallelization techniques and practices, efficient and effective parallel languages, interfaces, libraries and frameworks, as well as solid practical and experimental validation. This topic provides a forum for the 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 via adequate parallel and distributed programming model, interface and language support. We welcome contributions that assess programming abstractions, models and methods for usability, performance prediction, scalability, self-adaptation, rapid prototyping and fault-tolerance, as needed, for instance, in dynamic heterogeneous parallel and distributed infrastructures. We urge authors to include quantitative evaluations to substantiate their claims.

• Innovative paradigms, programming models, languages and libraries for parallel and distributed applications
• Programming paradigms and techniques for novel infrastructures like accelerators, exascale systems and clouds
• Design and implementation, performance analysis and performance portability of programming models across parallel and distributed platforms
• Programming models and techniques for heterogeneity, self-adaptation and fault tolerance
• Programming tools for application design, implementation, and performance-tuning
• Application case-studies for benchmarking and comparative studies of parallel programming models
• Domain-specific libraries and languages
• Parallel and distributed programming productivity, usability, and component-based parallel programming