<div dir="ltr">Extended Deadline (Paper submission deadline: <span tabindex="0" class=""><span class="">16 August 2015</span></span>; other deadlines: see below)<br>
<br>
ISAV: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization<br>
an SC15 Workshop<br>
<span tabindex="0" class=""><span class="">Monday</span></span> afternoon <span tabindex="0" class=""><span class="">16 November 2015</span></span>, Austin, TX, USA<br>
<br>
Event web page: <a href="http://vis.lbl.gov/Events/ISAV-2015/" rel="noreferrer" target="_blank">http://vis.lbl.gov/Events/ISAV-2015/</a><br>
<br>
== Scope ==<br>
This workshop brings together researchers, developers and practitioners
from industry, academia, and government laboratories who use in situ
methods in extreme-scale, high performance computing. The goal is to
present existing in-situ infrastructures, reference examples in a range
of science and engineering applications, to discuss topics like
opportunities presented by new architectures; existing infrastructure
needs, requirements, and gaps; and experiences to foster and enable in
situ analysis and visualization.<br>
<br>
The considerable interest in the HPC community regarding in situ
analysis and visualization is due to several factors. First is an I/O
cost savings, where data is analyzed/visualized while being generated,
without first storing to a filesystem. Second is the potential for
increased accuracy, where fine temporal sampling of transient analysis
might expose some complex behavior missed in coarse temporal sampling.
Third is the ability to use all available resources, CPU’s and
accelerators, in the computation of analysis products.<br>
<br>
In Situ processing is still a relatively new idea, and up until
recently, most implementations have been ad hoc, proof-of-concept
prototypes. However, several in situ infrastructure implementations have
emerged. ParaView and VisIt both provide tools for in situ analysis and
visualization. ParaView Catalyst can be linked to a simulation,
allowing the simulation to share data with Catalyst for visualization.
Similar capabilities are available within VisIt with the libsim library.
Both Catalyst (through Live) and libsim enable the opposite flow of
information, sending data from the client to the simulation, enabling
the possibility of simulation steering. ADIOS and GLEAN allow
simulations to adopt in situ techniques by leveraging their advanced I/O
infrastructures that enable co-analysis pipelines rather than changing
the simulator. The non-intrusive integration provide resilience to third
party library bugs and possible jitter in the simulation.<br>
Participation/Call for Papers<br>
We invite short (4-page) papers that identify opportunities, challenges
and case studies/best practices for in situ analysis and visualization.
These papers could propose actions, or provide position, or experience
reports on in situ analysis and visualization.<br>
<br>
Areas of interest for ISAV, include, but are not limited to:<br>
* In situ infrastructures<br>
- Current Systems: production quality, research prototypes<br>
- Opportunities<br>
- Gaps<br>
* System resources, hardware, and emerging architectures<br>
- Enabling Hardware<br>
- Hardware and architectures that provide opportunities for In situ
processing, such as burst buffers, staging computations on I/O nodes,
sharing cores within a node for both simulation and in situ processing<br>
<br>
* Examples/Case studies<br>
- Best practices<br>
- Analysis: feature detection, statistical methods, temporal methods, geometric methods<br>
- Visualization: information visualization, scientific visualization, time-varying methods<br>
- Data reduction/compression<br>
<br>
* Simulation<br>
- Integration:data modeling, software-engineering<br>
- Resilience: error detection, fault recovery<br>
- Workflows for supporting complex in situ processing pipelines<br>
<br>
* Requirements<br>
- Preserve important elements<br>
- Significantly reduce the data size<br>
- Flexibility for post-processing exploration<br>
<br>
== Submitting Papers ==<br>
Submissions are limited to 4 pages in the ACM format (see <a href="http://www.acm.org/sigs/publications/proceedings-templates" rel="noreferrer" target="_blank">http://www.acm.org/sigs/publications/proceedings-templates</a>).
The 4-page limit includes figures, tables, and appendices, but does not
include references, for which you may use up to one additional page.<br>
Please submit your paper via the ISAV 2015 EasyChair submission page at <a href="https://easychair.org/conferences/?conf=isav2015" rel="noreferrer" target="_blank">https://easychair.org/conferences/?conf=isav2015</a>.<br>
<br>
== Timelines/Important Dates: ==<br>
<span tabindex="0" class=""><span class="">16 August 2015</span></span> (was <span tabindex="0" class=""><span class="">1 August 2015</span></span>) Paper submission deadline<br>
<span tabindex="0" class=""><span class="">16 September 2015</span></span> (was <span tabindex="0" class=""><span class="">1 September 2015</span></span>) Author notification<br>
<span tabindex="0" class=""><span class="">30 September 2015</span></span> (was <span tabindex="0" class=""><span class="">15 September 2015</span></span>) Camera ready copy due<br>
mid-October 2015 Final program posted to ISAV web page<br>
<span tabindex="0" class=""><span class="">16 November 2015</span></span> ISAV workshop<br>
<br>
== Organizers/Program Committee ==<br>
<br>
Organizers<br>
E. Wes Bethel, <a href="mailto:ewbethel@lbl.gov">ewbethel@lbl.gov</a>, Lawrence Berkeley National Laboratory, USA<br>
Venkatram Vishwanath, <a href="mailto:venkat@anl.gov">venkat@anl.gov</a>, Argonne National Laboratory, USA<br>
Gunther H. Weber, <a href="mailto:ghweber@lbl.gov">ghweber@lbl.gov</a>, Lawrence Berkeley National Laboratory, USA<br>
Matthew Wolf, <a href="mailto:mwolf@cc.gatech.edu">mwolf@cc.gatech.edu</a>, Georgia Institute of Technology, USA<br>
<br>
Program Committee<br>
Utkarsh Ayachit, Kitware Inc., USA<br>
Earl P.N. Duque, Intelligent Light, USA<br>
Nicola Ferrier, Argonne National Laboratory, USA<br>
Burlen Loring, Lawrence Berkeley National Laboratory, USA<br>
Dmitriy Morozov, Lawrence Berkeley National Laboratory, USA<br>
Patrick O’Leary, Kitware Inc., USA<br>
Manish Parashar, Rutgers, USA<br>
Karsten Schwan, Georgia Institute of Technology, USA<br>
Alex Sim, Lawrence Berkeley National Laboratory, USA<br>
Brad Whitlock, Intelligent Light, USA<br>
Kesheng (John) Wu, Lawrence Berkeley National Laboratory, USA</div>