Ugo Becciani (INAF - Astrophyisical Observatory of Catania),
U. Becciani (INAF), A. Costa (INAF), N.
Ersotelos(University of Portsmouth) , M. Krokos (University of
Portsmouth), P. Massiminio (INAF), C. Petta (University of Catania)
, F. Vitello (Consorzio Cometa)
Abstract
VisIVO provides an integrated suite of tools
and services that can be used in many other scientific fields.
VisIVO development starts in the Virtual Observatory framework.
VisIVO allows users to visualize meaningfully highly-complex,
large-scale datasets and create movies of these visualizations based
on distributed infrastructures.
VisIVO supports
high-performance, multi-dimensional visualization of large-scale
astrophysical datasets.
Users can rapidly obtain meaningful
visualizations while preserving full and intuitive control of the
relevant
parameters. VisIVO consists of VisIVO Desktop - a
stand-alone application for interactive visualization on
standard PCs, VisIVO Server - a platform for high performance
visualization, VisIVO Web - a custom designed
web portal,
VisIVOSmartphone - an application to exploit the VisIVOServer
functionality and the latest VisIVO features:
VisIVO Library that
allows a job running on a computational system (grid, HPC, etc.) to
produce movies directly with the code internal data arrays without
the need to produce intermediate files. This is particularly important
when running on the large computational facilities, where the user
wants to have a look of the results during the data production phase.
For example, in grid computing facility images can be produced
directly in the grid catalogue, while the user code is running in a
system that cannot be directly accessed by the user (a worker node).
The deployment of VisIVO on the DG and gLite is carried
out with
the support of EDGI and EGI-Inspire projects.
Depending on the
structure and size of datasets in consideration, the data exploration
process could take
several hours of CPU for creating customized
views, and the production of movies could potentially last
several days. For this reason an MPI parallel version of VisIVO
can play a fundamental role in increasing
performance, e.g. it
could be deployed automatically on nodes that are MPI aware. A central
concept in our
development is thus to produce unified code that
can run as necessary either on serial nodes or in parallel by
using HPC oriented grid nodes. Another important aspect, to
obtain as high performance as possible, is the
integration of
VisIVO processes with grid nodes where GPUs are available. We have
selected CUDA for implementing
a range of computationally heavy
modules. Slides in PDF format
Paper ID: O06
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