This document announces a 2-day workshop on visualizing large scientific data to be held on June 14-15, 2011 at CINECA in Casalecchio di Reno, Italy. The workshop will bring together researchers and developers to discuss advances in remote and in-situ visualization techniques. Topics will include visualization tools, libraries, and in-situ methods. Attendance is free but registration is required.

1. Coordinamento grafico Alterego - stampa PorporaStudio - Immagine prodotta con Splotch- Hot plasma atmosphere of a galaxy clusters - Credit: Klaus Dolag.
WORKSHOP
on Visualization of Large Scientific Data
June 14 - 15, 2011
The workshop will bring together researchers, develo- Speakers:
pers, computational scientists for cross-training and to Ugo Becciani, Catania Observatory, Italy
discuss recent developments and future advancements Luigi Calori, CINECA, Italy
in remote and in-situ visualization. Jean Favre, CSCS, Switzerland
Claudio Gheller, CINECA, Italy
It is for students and researchers in computational sciences and enginee- Pat Marion, Kitware Inc.
ring, and will focus on tools and new techniques for the visualization of Florian Niebling, University of Stuttgart
large datasets produced by scientific simulations running on HPC systems. Paolo Quadrani, CINECA, Italy
Topics: Vladimir Slavnic, IPB, Serbia
• Introduction to scientific and remote visualization Jerome Soumagne, CSCS, Switzerland
• High-performance visualization tools and libraries Mario Valle, CSCS, Switzerland
• Advanced techniques for in-situ visualization Uwe Woessner, University of Stuttgart
Attendance to the 2-day workshop is free. via Magnanelli 6/3 - 40033 Casalecchio di Reno (BO) Italy
Registration: please follow instructions on the web page: www.cineca.it/page/wor- centralino: + 39 051 6171411 - fax: +39 051 6132198
kshop-visualization-large-scientific-data. Conference Location: CINECA via Magna- www.cineca.it - m.rivi@cineca.it
nelli 6/3 - 40033 Casalecchio di Reno (BO), Italy. Contact: m.rivi@cineca.it www.cineca.it/page/workshop-visualization-large-scientific-data