HLPP 2018 : High-Level Parallel Programming and Applications
11th International Symposium - 12 to 13 July 2018, Orléans, France

Aims and scope of HLPP

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 9th Symposium on High-Level Parallel Programming and Applications will be held in Orléans, France.


Topics

HLPP 2018 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, performance models (BSP, CGM, LogP, MPM, etc.) and tools
  • Declarative parallel programming methodologies based on functional, logical, data-flow, and other paradigms
  • Algorithmic skeletons, patterns, etc. and constructive methods
  • High-level parallelism in programming languages and libraries (e.g, Haskell, Scala, etc.): semantics and implementation
  • Verification of declarative parallel and distributed programs
  • Efficient code generation, auto-tuning and optimization for parallel programming
  • Model-driven software engineering for parallel systems
  • Domain-specific languages: design, implementation and applications
  • High-level programming models for heterogeneous/hierarchical platforms with accelerators, e.g., GPU, Xeon Phi, etc.
  • High-level parallel methods for large structured and semi-structured datasets
  • Applications of parallel systems using high-level languages and tools
  • Teaching experience with high-level tools and methods

Program committee
  • Herbert Kuchen, University of Münster, Germany
  • Christoph Kessler, Linköping University, Sweden
  • Susanna Pelagatti, University of Pisa, Italy
  • Murray Cole, University of Edinburgh, United Kingdom
  • Kostis Sagonas, Uppsala University, Sweden
  • Aleksandar Prokopec, Google Inc., Switzerland
  • Clemens Grelck, University of Amsterdam, The Netherlands
  • Marco Aldinucci, University of Torino, Italy
  • Marco Danelutto, , University of Pisa, Italy
  • Gerbessiotis Alexandros, New Jersey Institute of Technology, USA
  • Joel Falcou, MetaScale / Université Paris-Sud, France
  • Kiminori Matsusaki, Kochi University of Technology, Japan
  • Michel Steuwer, University of Glasgow, UK
  • R.H. Bisseling, Utrecht University, The Netherlands
  • Kevin Hammond, University of St. Andrews, United Kingdom
  • Sergei Gorlatch, University of Münster, Germany
  • Massimo Torquati, University of Pisa, Italy
  • Dalvan Griebler, Pontifical Catholic University of Rio Grande do Sul, Brazil
  • Patrizio Dazzi, HPC Lab ISTI-CNR
  • Kento Emoto, Kyushu Institute of Technology
  • Jost Berthold, Commonwealth Bank of Australia
  • Peter Kilpatrick, Queen’s University Belfast
  • Julien Tesson, University Paris-Est Créteil, France
  • Wadoud Bousdira, University of Orléans, France
  • Frédéric Dabrowski, University of Orléans, France


Loire photography

Partners
Orleans university   Huawei   ICVL

Side events
  • In France, the 14th of july is the Bastille day.
  • HPCS 2018 (High Performance Computing & Simulation) is also organized in Orléans, July 16 – 20, 2018
Symposium Co-Chairs
Organization Committee
Steering Committee
  • Clemens Grelck (Universiteit van Amsterdam, Netherlands)
  • Gaétan Hains (Huawei Technologies Paris, France)
  • Kiminori Matsuzaki (Kochi University of Technology, Japan)
  • Frédéric Loulergue (Northern Arizona University, USA)
  • Quentin Miller (Somerville College Oxford, United Kingdom)
  • Alexander Tiskin (University of Warwick, United Kingdom)

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