HLPGPU 2014 - HLPGPU 2014 : High-Level Programming for Heterogeneous and Hierarchical Parallel Systems

HLPGPU aims to bring together researchers and practitioners to present new results and ongoing work on those aspects of high-level programming relevant, or specific, to GPGPUs and new architectures.
Main Topics
High-level parallel programming models, libraries and languages.
Adaptation to heterogeneous/hierarchical platforms: GPGPU, multicore, FPGA etc.
Adaptation of cluster- and grid- performance models to new platforms.
Programming experiments and applications of heterogeneous/hierarchical platforms with a view on high-level programming methods.
Algorithmic skeletons, design patterns for heterogeneous/hierarchical platforms.
Domain-specific parallel patterns
Efficient implementations of parallel patterns on multicore systems
Mapping patterns to heterogeneous multicore systems
Exploiting performance information to guide pattern Implementation
Pattern implementations using application-specific information
Refactoring tools and techniques for parallel patterns
Tools and systems to aid pattern-based parallel programming - structured
Parallel programming models
Heterogeneous computing
Feedback-directed compilation
Timing analysis tools and techniques
Statistical performance modelling and prediction