[hpc-announce] CFP - HPCSP 2013: Workshop on HPC for Scientific Problems

Dana Petcu petcu at info.uvt.ro
Mon Jun 3 10:11:31 CDT 2013


                       CALL FOR PAPERS

		Workshop on HPC for scientific problems

		September 23-26, 2013, Timisoara, Romania
    in conjunction with SYNASC 2013 (http://synasc13.info.uvt.ro)


Full paper submissions: 30 June 2013
Notifications: 22 July 2013
Revised papers and registrations: 1 Sept 2013
Event: 23-26 Sept 2013
Publication in IEEE proceedings of SYNASC 2013: Jan 2014
Extended version of selected papers for SCPE: Feb 2014
Notifications: March 2014
Publication of selected papers in SCPE: April 2014
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 in scientific applications
GPU support for applications
Cluster, Grid and Cloud Computing in scientific applications
Parallelization of compute or data-intensive tasks in scientific applications
Data handling, integration and visualization in scientific applications
Distributed infrastructures for scientific applications
Programming paradigms for high performance computing in scientific applications
Tools and programming environments supporting high performance computing in scientific applications
Scheduling in high performance computing for scientific applications
Workflow management and remote collaboration in scientific applications
System level support for high performance computing in scientific applications
Fault tolerance of distributed scientific applications
Scalability of infrastructures and applications in scientific applications

Ralf-Peter Mundani – Technische Universität München, Germany

Dana Petcu – West University of Timisoara, Romania

Up to 8 pages IEEE CS Format – follow the links from SYNASC Workshops 2013.

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