HLPP 2015 - 8th International Symposium on High-level Parallel Programming and Applications
Topics/Call fo Papers
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 8th Symposium on High-Level Parallel Programming and Applications will be held July 2-3 in the historic center of Pisa.
Topics:
HLPP 2015 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 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 structured and semi-structured datasets
Applications of parallel systems using highツュ-level languages and tools
Teaching experience with highツュ-level tools and methods
Organization
Local Organization
Marco Danelutto
Susanna Pelagatti
Massimo Torquati
Program committee (tentative)
Marco Aldinucci, University of Torino, Italy
Jost Berthold, University of Copenhagen, Denmark
Murray Cole, University of Edinburgh, United Kingdom
Marco Danelutto, University of Pisa, Italy
Joel Falcou, MetaScale / Université Paris-Sud, France
Clemens Grelck, University of Amsterdam, Netherlands (Chair)
Gaétan Hains, Huawei Technologies Paris, France
Zhenjiang Hu, National Institute of Informatics, Japan
Ali Jannesari, German Research School for SimulationScience, (D)
Youry Khmelevsky, University of British Columbia (Okanagan) / 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
Massimo Torquati, Univ. of Pisa, Italy
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 8th Symposium on High-Level Parallel Programming and Applications will be held July 2-3 in the historic center of Pisa.
Topics:
HLPP 2015 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 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 structured and semi-structured datasets
Applications of parallel systems using highツュ-level languages and tools
Teaching experience with highツュ-level tools and methods
Organization
Local Organization
Marco Danelutto
Susanna Pelagatti
Massimo Torquati
Program committee (tentative)
Marco Aldinucci, University of Torino, Italy
Jost Berthold, University of Copenhagen, Denmark
Murray Cole, University of Edinburgh, United Kingdom
Marco Danelutto, University of Pisa, Italy
Joel Falcou, MetaScale / Université Paris-Sud, France
Clemens Grelck, University of Amsterdam, Netherlands (Chair)
Gaétan Hains, Huawei Technologies Paris, France
Zhenjiang Hu, National Institute of Informatics, Japan
Ali Jannesari, German Research School for SimulationScience, (D)
Youry Khmelevsky, University of British Columbia (Okanagan) / 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
Massimo Torquati, Univ. of Pisa, Italy
Other CFPs
- Workshop on High Performance Computing(WHPC 2015)
- 2015 International Conference on Cloud Computing Research and Innovation
- Eighth Annual Workshop on the Interaction amongst Virtualization, Operating Systems and Computer Architecture (WIVOSCA 2015)
- 3rd International IBM Cloud Academy Conference
- International Conference on Industrial Engineering and Systems Management 2015
Last modified: 2015-01-30 22:20:38