============================================================================== FINAL CALL FOR PARTICIPATION HLPP 2014 7th International Symposium on High-level Parallel Programming and Applications Amsterdam, Netherlands July 3-4, 2014 https://sites.google.com/site/hlpp2014amsterdam/ ============================================================================== Keynote: Frank Schlimbach, Intel: Parallelism Through CnC (Concurrent Collections) - More Flexibility, Less Pain Abstract: The major goal of CnC (Concurrent Collections) is a productive path to efficient parallel execution. And yet a CnC program does not indicate what runs in parallel. Instead, it explicitly identifies what precludes parallel execution. There are exactly two reasons that computations cannot execute in parallel. If one computation produces data that the other one consumes, the producer must execute before the consumer. If one computation determines if another will execute, the controller must execute before the controllee. CnC is a data and control flow model together with tuple-space influence. However, it is closer in philosophy to the PDG (Program Dependence Graph) intermediate form than to other parallel programming models. Its high-level abstractions allow flexible and efficient mapping of a CnC program to the target platform. The talk will introduce CnC and present some active research topics. ============================================================================== Aims and scope: As processor and system manufacturers increase the amount of both inter- and intra-chip parallelism it becomes crucial to provide the software industry with high-level, clean and efficient tools for parallel programming. Parallel and distributed programming methodologies are currently dominated by low-level techniques such as send/receive message passing, or equivalently unstructured shared memory mechanisms. Higher-level, structured approaches offer many possible advantages and have a key role to play in the scalable exploitation of ubiquitous parallelism. Since 2001 the HLPP series of workshops/symposia has been a forum for researchers developing state-of-the-art concepts, tools and applications for high-level parallel programming. The general emphasis is on software quality, programming productivity and high-level performance models. The 7th Symposium on High-Level Parallel Programming and Applications will be held July 3-4 in the historic center of Amsterdam. ============================================================================== Proceedings: Accepted papers will be distributed as informal draft proceedings during the symposium and thereafter published by Springer in a special issue of the International Journal of Parallel Programming (IJPP). ============================================================================== Topics: HLPP 2014 invites papers on all topics in high-level parallel programming, its tools and applications including, but not limited to, the following aspects: + High-level programming and performance models (BSP, CGM, LogP, MPM, etc.) and their tools + Declarative parallel programming methodologies + Algorithmic skeletons and constructive methods + Declarative parallel programming languages and libraries: semantics and implementation + Verification of declarative parallel and distributed programs + Software synthesis, automatic code generation for parallel programming + Model-driven software engineering with parallel programs + High-level programming models for heterogeneous/hierarchical platforms + High-level parallel methods for large datasets + Applications of parallel systems using high-level languages and tools + Teaching experience with high-level tools and methods ============================================================================== Programme committee: Marco Aldinucci, University of Torino, Italy Jost Berthold, University of Copenhagen, Denmark Rob Bisseling, Utrecht University, Netherlands Murray Cole, University of Edinburgh, United Kingdom Joel Falcou, MetaScale / Université Paris-Sud, France Clemens Grelck, University of Amsterdam, Netherlands (Chair) Gaétan Hains, Université Paris-Est, France Zhenjiang Hu, National Institute of Informatics, Japan Youry Khmelevsky, University of British Columbia / Okanagan College, Canada Herbert Kuchen, University of Münster, Germany Kiminori Matsuzaki, Kochi University of Technology, Japan Frank Penczek, Intel Ulm, Germany Susanna Pelagatti, University of Pisa, Italy Tiark Rompf, Oracle Labs / Ecole Polytechnique Fédérale de Lausanne, Switzerland Francisco de Sande, University of La Laguna, Spain Kostis Sagonas, Uppsala University, Sweden Vijay Saraswat, IBM Thomas J. Watson Research Center, USA Sven-Bodo Scholz, Heriot-Watt University, United Kingdom ============================================================================== HLPP Organizer and programme chair: Clemens Grelck Informatics Institute University of Amsterdam Science Park 904 1098XH Amsterdam Netherlands c.grelck@uva.nl ============================================================================== HLPP steering committee: Clemens Grelck (Universiteit van Amsterdam, Netherlands) Gaétan Hains (Université Paris-Est, France) Kiminori Matsuzaki (Kochi University of Technology, Japan) Frédéric Loulergue (Université d'Orléans, France) Quentin Miller (Somerville College Oxford, United Kingdom) Alexander Tiskin (University of Warwick, United Kingdom) ============================================================================== Previous HLPP symposia and workshops: HLPP 2013, Paris, France HLPP 2011, Tokyo, Japan HLPP 2010, Baltimore, USA HLPP 2005, Coventry, United Kingdom HLPP 2003, Paris, France HLPP 2001, Orléans, France ============================================================================== -- ---------------------------------------------------------------------- Dr Clemens Grelck Science Park 904 University Lecturer 1098XH Amsterdam Netherlands University of Amsterdam Institute for Informatics T +31 (0) 20 525 8683 Computer Systems Architecture Group F +31 (0) 20 525 7490 Office C3.105 www.science.uva.nl/~grelck ----------------------------------------------------------------------