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WLPP 2015 : 6th Workshop on Language-Based Parallel Programming


When Sep 6, 2015 - Sep 9, 2015
Where Krakow , Poland
Submission Deadline Apr 26, 2015
Notification Due Jun 5, 2015
Categories    parallel programming   HPC   parallel computing

Call For Papers

6th Workshop on Language-Based Parallel Programming Models (WLPP)

in conjunction with

September 6-9, 2015, Krakow , Poland
Workshop Web Site


WLPP 2015 is a full-day workshop to be held at the PPAM 2015 focusing on highlevel programming for large-scale parallel systems and multicore processors, with special emphasis on component architectures and models. Its goal is to bring together researchers working in the areas of applications, computational models, language design, compilers, system architecture, and programming tools to discuss new developments in programming Grids and parallel systems. The workshop focuses on any language-based programming model such as OpenMP, Intel TBB and Ct, Microsoft .NET 4.0 parallel extensions (TPL and PPL), Java parallel extensions, HPCS languages (Chapel, X10 and Fortress), Unified Parallel C (UPC), Co-Array FORTRAN (CAF) and GPGPU language-based programming models such as CUDA. Contributions on other high-level programming models and supportive environments for parallel and distributed systems are equally welcome.

This workshop will feature papers that explore experiences from application developers in the use of the language and performance of real applications, experiences in the implementation of tools supporting the development and parallelization of applications or supporting the final execution on different computing platforms. We also welcome experiences in moving ideas and concepts from one programming model to another. Possible topics include, but are not limited to,

* Language and library implementations.
* Proposals for, and evaluation of, language extensions.
* Applications development experiences.
* Comparisons between programming models.
* Benchmark Suites and performance studies.
* Debuggers and performance analysis tools.
* Compiler Implementation and Optimization.
* Optimization Techniques.
* Hybrid Models (OpenMP-MPI etc.)

Please submit full papers via the PPAM Conference submission system (formatted according to the PPAM specification), not previously published or submitted for publication elsewhere. Please acknowledge the workshop chair (address below) by sending an email include a cover page with the title, abstract, names and e-mail of the authors. Please submit pdf-files.


Paper due April 26, 2015
Notification of acceptance June 5, 2015
Final version of the paper due Nov. 15, 2015

Workshop Chair

Ami Marowka
Regional Colleges,
Bar-Ilan University, Israel


Program Committee

Tarek El-Ghazawi George Washington U., USA
David Seme U. de Picardie Jules Verne, France
Frederic Gava U. de Paris XII-Val de Marne, France
Martin Bucker Friedrich Schiller U. Jena, Germany
Koji Nakano Hiroshima University, Japan
Przemyslaw Stpiczynski Marie Curie Sklodowska U., Poland
Adam Meissner Poznan U. of Technology, Poland
Tamito Kajiyama CITI, DI/FCT, U. Nova de Lisbon, Portugal -
Parimala Thulasiraman University of Manitoba, Canada
Claudia Fohry University of Kassel, Germany

Related Resources

WLPP 2019   Workshop on Language-Based Parallel Programming Models
ParCo 2019   Parallel Computing Conference
HLPP 2019   12th International Symposium on High-Level Parallel Programming and Applications
IWOMP 2019   The 15th International Workshop on OpenMP
Parallel Programming 2019   Advances in Parallel Programming: Languages, Models and Algorithms
ICCPR--Ei Compendex and Scopus 2019   2019 8th International Conference on Computing and Pattern Recognition (ICCPR 2019)--Ei Compendex and Scopus
ParaMo 2019   2019 1st International Workshop on Parallel Programming Models in High-Performance Cloud (ParaMo 2019)
EuroMPI 2019   25th European MPI User's Group
OpenSuCo @ ISC HPC 2017   2017 International Workshop on Open Source Supercomputing
P2S2 2019   The Twelfth International Workshop on Parallel Programming Models and Systems Software for High-End Computing