Workshop on HPC for Scientific Problems

in conjunction with SYNASC 2013

25-26 September 2013

The event is built upon two distinct parts:

HPC workshop – sessions of regular papers

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.

Topics:

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

General chair:

  • Ralf-Peter Mundani – Technical University of Munich, Germany

Local chair:

  • Dana Petcu – West University of Timisoara, Romania

Programme Committee:

  • Adrian Jackson, EPCC, UK
  • Alexey Lastovetsky, University College Dublin, Ireland
  • Andrea Clematis, Institute for Applied Mathematics and Information Technologies, CNR, Italy
  • Emmanuel Jeannot, INRIA, France
  • Emil Slusanschi, University Politehnica of Bucharest, Romania
  • Florin Isaila, University Carlos III de Madrid, Spain
  • Gabriel Mateescu, Virginia Bioinformatics Institute, USA
  • Helen Karatza, Aristotle University of Thessaloniki, Greece
  • Ioan Lucian Muntean, Technical University of Cluj-Napoca, Romania
  • Jesus Carretero, University Carlos III de Madrid, Spain
  • Jorge Sevilla Cedillo, University of Extremadura, Spain
  • Julius Žilinskas, Vilnius University, Lithuania
  • Karoly Skala, Rudjer Boskovic Institute, Croatia
  • Pierre Manneback, University of Mons, Belgium
  • Ranieri Baraglia, Information Science and Technologies Institute, CNR, Italy
  • Rio Yokota, King Abdullah University of Science and Technology, Kingdom of Saudi Arabia
  • Roman Wyrzykowski, Czestochowa University of Technology, Poland
  • Suleyman Tosun, University of Ankara, Turkey
  • Svetozar Margenov, Bulgarian Academy of Sciences, Bulgaria
  • Thomas Rauber, University Bayreuth, Germany

Deadlines:

  • Call for papers: May 2013
  • Full paper submissions: 30 June  15 July  31 July 2013
  • Notifications: 22 July  20 August 2013
  • Registrations: 1 Sept 2013
  • Revised papers: 8 Sept 2013
  • Event: 23-26 Sept 2013
  • Publication in 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

Submission system:

Up to 8 pages CPS Format – please follow the links from SYNASC Workshops 2013.
The accepted papers will be published in the post-proceedings of SYNASC conference, by Conference Publishing System in early 2014.

HPC Tutorial

The aim of the tutorial is to offer the knowledge and to acquire practical skills for HPC.

Tentative agenda:

  1. Infrastructure
  2. Parallel programming with MPI, OpenMP and CUDA.
  3. Applications examples
  4. Hands-on

Trainer:

  • Adrian Jackson, Edinburgh Parallel Computing Centre, UK

 

Call announcements

PRACE site
WikiCFP
DBWorld
ResearchBib

 

Download from here the full programme of SYNASC 2013

Feedback questionnaire

Agenda

Wednesday, September 25

09:00-09:50 [SYNASC] Invited talk

09:50-10:10 [SYNASC] Coffee break

10:10-12:10 Session 1: HPC Tutorial

12:10-13:30 [SYNASC] Invited talk

13:30-14:20 [SYNASC] Coffee break

14:40-16:00 Session 2:

  • Jérôme Frisch, Ralf-Peter Mundani and Ernst Rank. Adaptive Distributed Data Structure Management for Parallel CFD Applications
  • Adrian Jackson. MDMP: Managed Data Message Passing
  • Victor-Lucian Spiridon and Emil-Ioan Slusanschi. N-Body Simulations With GADGET-2
  • Marius Joldos, Octavian Vinteler, Ioan Radu Peter and Ioan Lucian Muntean. MPI-based Asynchronous Simulation of Spiking Neural Networks on the Grid

16:00-16:20 [SYNASC] Coffee break

16:20-17:20  [SYNASC] Distributed computing

18:00-21:00 [SYNASC] Trip to Recas + conference dinner

Thursday, September 26

09:00-09:50 [SYNASC] Invited talk

09:50-10:10 [SYNASC] Coffee break

10:10-12:10 Session 3:

  • Jorge Sevilla and Antonio Plaza. A New Digital Repository for Remotely Sensed Hyperspectral Imagery on GPUs
  • Nathalie Rauschmayr and Achim Streit. Evaluating moldability of LHCb jobs for multicore job submission
  • Adrian Jackson and Sergio Campobasso. Optimised hybrid parallelisation of a CFD code on Many Core architectures
  • Matthieu Kuhn, Guillaume Latu, Stéphane Genaud and Nicolas Crouseilles. Optimization and parallelization of Emedge3D on shared memory architecture

12:10-13:10 [SYNASC] Lunch break

13:10-15:30 Session 4: Special session of HOST project

  • Nicolla Spallanzani. Parallel averages for noisy Monte Carlo sampling in semiclassical time correlation functions
  • Luis Ignacio Jimenez. A Parallel Implementation of a Region Growing Segmentation Algorithm for Multispectral and Hyperspectral Images
  • Alexander Agathos, Parallel Poisson Surface Reconstruction in the GPU
  • Claudiu Biris. Parallelization strategies for high performance three dimensional electromagnetic scattering codes.
  • Dana Petcu. HOST project and H2020 collaboration perspectives

Photos from the event

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