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[Bd-palaver] Enabling Domain-Centric Visualization and Analysis in High Performance Computing Environments

From: Andreas Adelmann <andreas.adelmann AT psi.ch>
To: "bd-palaver AT lists.psi.ch" <bd-palaver AT lists.psi.ch>, Andrew Foster <foster.ac AT gmail.com>, Achim Gsell <achim.gsell AT psi.ch>, Stachel Helene Maria <Helene.Stachel AT psi.ch>, Carina Stritt <carina.stritt AT psi.ch>, Frey Matthias <freyma AT student.ethz.ch>, Peter Arbenz <arbenz AT inf.ethz.ch>, Tulin Kaman <tulin.kaman AT psi.ch>, feichtinger Feichtinger <derek.feichtinger AT psi.ch>, Valeri Markushin <Valeri.Markushin AT psi.ch>, Harinarayan Krishnan <hkrishnan AT lbl.gov>
Subject: [Bd-palaver] Enabling Domain-Centric Visualization and Analysis in High Performance Computing Environments
Date: Wed, 10 Jul 2013 11:26:11 +0200
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Dear colleagues on July 12 Friday 10:00am WHGA/U129 Dr. Harinarayan Krishnan
from Lawrence Berkeley Lab will talk about

Enabling Domain-Centric Visualization and Analysis in High Performance
Computing Environments

Abstract:
Multi-institutional interdisciplinary domain science teams are increasingly
commonplace in modern high performance computing (HPC) environments.
Visualization tools, such as VisIt, have traditionally focused more on
improving scalability, performance,
and efficiency of algorithms over enabling teams to have easier and
comprehensive access to HPC resources. In addition, visualization tools
provide an algorithm-based infrastructure focusing on a diverse set of
readers, plots, and operations rather than
higher level domain-specific algorithms when providing solutions to the
scientific community. This strategy yields a higher return on investment, but
increases complexity for the user community.

Larger, more diverse teams of scientists, now faced with a distributed
environment often find traditional modes of generic visualization, standard
methods of data sharing and a lack of collaboration capabilities
as an additional issues detracting from their focus on scientific research.

We have implemented three new features within VisIt to address these needs
and enable domain scientists to refocus their efforts on more productive
endeavors. These features include tailored visualization using a new
PySide infrastructure, a new parallel analysis framework supporting Python &
R scripting, and a collaboration suite that allows sharing results and
communicating among a variety of display mediums from mobile devices to
visualization clusters. The aim is to enhance the experience of domain
scientists by streamlining their work environment, providing easy access to a
complex set of resources, and enabling collaborations, sharing, and
communication for a diverse team.

Please distribute to interested colleagues
Thanks

Andreas

[Bd-palaver] Talk is canceled: Enabling Domain-Centric Visualization and Analysis in High Performance Computing Environments, Andreas Adelmann, 07/09/2013
- [Bd-palaver] Enabling Domain-Centric Visualization and Analysis in High Performance Computing Environments, Andreas Adelmann, 07/10/2013