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HPCReS 2014 : Workshop on HPC research services


When Sep 24, 2014 - Sep 25, 2014
Where Timisoara
Submission Deadline Jul 11, 2014
Notification Due Jul 31, 2014
Final Version Due Sep 8, 2014
Categories    HPC   parallel computing

Call For Papers


HPCRes 2014

Workshop on HPC research services

September 24-25, 2014, Timisoara, Romania
in conjunction with SYNASC 2014 (


Full paper submissions (extended): 11 July 2014
Notifications (extended): 31 July 2014
Revised papers and registrations: 1 Sept 2014
Event: 24-25 Sept 2014
Publication in IEEE proceedings of SYNASC 2014: Jan 2015
Extended version of selected papers for Scalable Computing (SCPE): Feb 2015
Notifications: March 2015
Publication of selected papers in SCPE: April 2015

The purpose of this workshop is to present and discuss the state-of-the-art
in high-performance scientific computing with applications and various fields,
like environment, chemistry, physics etc.
Thus, the presentations will focus on applications needing high-performance computing,
physical modeling of large-scale problems, and the development of scalable algorithms
for solving large scale problems on modern parallel
and distributed high-performance computing platforms,
including multicore architectures, GPGPUs/GPUs, and clusters.
Furthermore, during the workshop the participants will have the opportunity
to discuss and share the latest research in parallel and distributed
high performance computing systems applied to scientific problems.
The emphasis of this workshop will be on running complex realistic applications
at sustained performance in production-grade HPC environments.
Scalability studies of complex computing codes on HPC platforms and the tools
and development environments facilitating improved scalability are among the expected contributions.

Specific topics for this workshop include, but are not limited to, the following:
* Interactive HPC applications
* Multi-Scale / Multi- Physics HPC applications
* Exploration of large data sets on HPC systems
* Multicore/manycore architectures
* GPU support for applications
* Parallelization of compute or data-intensive tasks
* Data handling, integration and visualization in HPC
* Distributed infrastructures for scientific applications
* Programming paradigms for high performance computing
* Tools and programming environments supporting high performance computing
* Scheduling in high performance computing for scientific applications
* Workflow management and remote collaboration for scientific applications
* System level support for high performance computing
* Fault tolerance of parallel applications
* Scalability of infrastructures and applications

* Ionel Muntean – Technical University of Cluj Napoca, Romania
* Emil Slusanschi – Politehnica University of Bucharest, Romania

* Ralf Peter Mundani – Technical University of Munich, Germany
* Dana Petcu – West University of Timisoara, Romania


* Jesus Carretero, Polytechnical School of University Carlos III of Madrid, Spain
* Andrea Clematis, Istituto di Matematica Applicata e Tecnologie Informatiche, CNR, Italy
* Martin Buecker, Institut fuer Informatik, Universitat Jena, Germany
* James Davenport, University of Bath, UK
* Ann C. Elster, Norwegian University of Science and Technology, Norway
* Voichita Iancu, Politehnica University of Bucharest, Romania
* Florin Isaila, Argonne National Laboratory, USA
* Adrian Jackson, EPCC, University of Edinburgh, UK
* Emmanuel Jeannot, LABRI, INRIA, France
* Helen Karatza, Aristotle University of Thessaloniki, Greece
* Alexey Lastovetsky, University College Dublin, Ireland
* Pierre Manneback, Polytech-Mons, Belgium
* Svetozar Margenov, Bulgarian Academy of Sciences, Bulgaria
* Gabriel Mateescu, Institute for Applied Remote Sensing at EURAC Research, Italy
* Maya Neytcheva, Uppsala University, Sweden
* Thomas Rauber, University of Bayreuth, Germany
* Karolj Skala, Ruder Boskovic Institute, Croatia
* Suleyman Tosun, Ankara University, Turkey
* Roman Wyrzykowski, Czestochowa University of Technology, Poland
* Julius Zilinskas, Vilnius University, Lithuania

Papers presenting original results are welcomed.
The papers should have maximum 8 pages in CPS Format submitted in the Easychair account of SYNASC workshops

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