[Storage-research-list] Call for papers: ISAV: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization

[Gunther H. Weber]

=== Call for papers: ISAV: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization ===
an SC15 Workshop, Monday afternoon 16 November 2015
Event web page: http://vis.lbl.gov/Events/ISAV-2015/


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.

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.

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.
Participation/Call for Papers
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.

Areas of interest for ISAV, include, but are not limited to:
* In situ infrastructures
  - Current Systems: production quality, research prototypes
  - Opportunities
  - Gaps
* System resources, hardware, and emerging architectures
  - Enabling Hardware
  - 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

* Examples/Case studies
  - Best practices
  - Analysis: feature detection, statistical methods, temporal methods, geometric methods
  - Visualization: information visualization, scientific visualization, time-varying methods
  - Data reduction/compression

* Simulation
  - Integration:data modeling, software-engineering
  - Resilience: error detection, fault recovery
  - Workflows for supporting complex in situ processing pipelines

* Requirements
  - Preserve important elements
  - Significantly reduce the data size
  - Flexibility for post-processing exploration

== Submitting Papers ==
Submissions are limited to 4 pages in the ACM format (see http://www.acm.org/sigs/publications/proceedings-templates). The 4-page limit includes figures, tables, and appendices, but does not include references, for which you may use up to one additional page.
Please submit your paper via the ISAV 2015 EasyChair submission page at https://easychair.org/conferences/?conf=isav2015.

== Timelines/Important Dates: ==
1 August 2015     Paper submission deadline
1 September 2015  Author notification
15 September 2015 Camera ready copy due
mid-October 2015  Final program posted to ISAV web page
16 November 2015  ISAV workshop

== Organizers/Program Committee ==

Organizers
  E. Wes Bethel, ewbethel at lbl.gov, Lawrence Berkeley National Laboratory, USA
  Venkatram Vishwanath, venkat at anl.gov, Argonne National Laboratory, USA
  Gunther H. Weber, ghweber at lbl.gov, Lawrence Berkeley National Laboratory, USA
  Matthew Wolf, mwolf at cc.gatech.edu, Georgia Institute of Technology, USA

Program Committee
  Utkarsh Ayachit, Kitware Inc., USA
  Earl P.N. Duque,  Intelligent Light, USA
  Nicola Ferrier, Argonne National Laboratory, USA
  Burlen Loring, Lawrence Berkeley National Laboratory, USA
  Dmitriy Morozov, Lawrence Berkeley National Laboratory, USA	
  Patrick O’Leary, Kitware Inc., USA
  Manish Parashar, Rutgers, USA
  Karsten Schwan, Georgia Institute of Technology, USA
  Alex Sim, Lawrence Berkeley National Laboratory, USA
  Brad Whitlock, Intelligent Light, USA
  Kesheng (John) Wu, Lawrence Berkeley National Laboratory, USA


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