ISAV 2017: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization

Held in conjunction with
SC17: The International Conference on High Performance Computing, Networking, Storage, and Analysis.

Sunday 12 November 2017 (full day)

Workshop Theme

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 file system. 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, CPUs and accelerators, in the computation of analysis products.

The workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories developing, applying, and deploying in situ methods in extremescale, high performance computing. The goal is to present research findings, lessons learned, and insights related to developing and applying in situ methods and infrastructure across a range of science and engineering applications in HPC environments; 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; to serve as a "center of gravity" for researchers, practitioners, and users/consumers of in situ methods and infrastructure in the HPC space.

Participation/Call for Papers

We invite two types of submissions to ISAV 2017: (1) short, 4-page papers that present research results, that identify opportunities or challenges, and that present case studies/best practices for in situ methods/infrastructure in the areas of data management, analysis and visualization; (2) lightning presentation submission, consisting of a 1- or 2-page submission, for a brief oral presentation at the workshop. Short papers will appear in the workshop proceedings and will be invited to give an oral presentation of 15 to 20 minutes; lightning round submissions will not be included as part of the proceedings. Submissions of both types are welcome that fall within one or more areas of interest, as follows:

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.

Methods/algorithms/applications/Case studies: Best practices; Analysis: feature detection, statistical methods, temporal methods, geometric methods; Visualization: information visualization, scientific visualization, time-varying methods; Data reduction/compression; Examples/case studies of solving a specific science challenge with in situ methods/infrastructure.

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 postprocessing exploration

Review Process

All submissions will undergo a peer-review process consisting of three reviews by experts in the field, and evaluated according to relevance to the workshop theme, technical soundness, creativity, originality, and impactfulness of method/results. Lightning round submissions will be evaluated primarily for relevance to the workshop.

Publication in proceedings, presentation at the workshop

All paper submissions that receive favorable reviews will be included as part of the workshop proceedings, which will be published along with other SC16 workshop proceedings in the ACM Digital Library and IEEE Xplore. Lightning round submissions will not be included as part of the proceedings. Subject to the constraints of workshop length, some subset of the accepted publications will be invited to give a brief oral presentation at the workshop. The exact number of such presentations and their length will be determined after the review process has been completed.

Submission Process

Authors are invited to submit papers of at most 4 pages in PDF format, excluding references, and lightning presentations of at most 2 pages in PDF format, excluding references. Papers should be formatted in the ACM Proceedings Style using the sample-sigconf template (templates available at https://www.acm.org/publications/proceedings-template) and submitted via EasyChair at https://easychair.org/conferences/?conf=isav17. No changes to the margins, spacing, or font sizes as specified by the style file are allowed.

Papers must be self-contained and provide the technical substance required for the program committee to evaluate their contributions. Submitted papers must be original work that has not appeared in and is not under consideration for another conference or a journal. See the ACM Prior Publication Policy for more details. Papers can be submitted via EasyChair at https://easychair.org/conferences/?conf=isav17.

Timeline/Important Dates

15 Aug 2017 1 Aug 2017: Submissions due, 23:59 AoE
15 Sep 2017: Author notification
30 Sep 2016: Camera ready copy due
15 October 2017: Final program posted to ISAV web page
12 Nov 2017: ISAV workshop at SC17

Committees and Chairs

General chair: Gunther H. Weber, Lawrence Berkeley National Laboratory, USA
General co-chair: Matthew Wolf, Oak Ridge National Laboratory, USA

Program chair: E. Wes Bethel, Lawrence Berkeley National Laboratory, USA
Program co-chair: Ken Moreland, Sandia National Laboratory, USA

Publicity: Earl Duque, Intelligent Light, USA

Publication chair: Nicola Ferrier, Argonne National Laboratory, USA
Publication co-chair: Silvio Rizza, Argonne National Laboratory, USA

Organizing Committee

E. Wes Bethel, Lawrence Berkeley National Laboratory, USA
Earl Duque, Intelligent Light, USA
Nicola Ferrier, Argonne National Laboratory, USA
Patrick O'Leary, Kitware, USA
Gunther H. Weber, Lawrence Berkeley National Laboratory, USA
Matthew Wolf, Oak Ridge National Laboratory, USA

Program Committee

Andrew Bauer, Kitware, Inc., USA
Wes Bethel, Lawrence Berkeley National Laboratory, USA
Hank Childs, University of Oregon, USA
Matthieu Dorier, Argonne National Laboratory, USA
Earl Duque, Intelligent Light, USA
Nicola Ferrier, Argonne National Laboratory, USA
Tom Fogal, NVIDIA, USA
Kelly Gaither, TACC, University of Texas, Austin, USA
Burlen Loring, Lawrence Berkeley National Laboratrory, USA
Ken Moreland, Sandia National Laboratory, USA
Patrick O'Leary, Kitware, Inc., USA
Kenji Ono, Kyushu University, Japan
Manish Parashar, Rutgers University, USA
Bruno Raffin, INRIA, France
Silvio Rizzi, Argonne National Laboratory, USA
Allen Sanderson, University of Utah, USA
Tom Vierjahn, Virtual Reality Group, RWTH Aachen, Germany
Gunther Weber, Lawrence Berkeley National Laboratory, USA
Brad Whitlock, Intelligent Light, USA
Matthew Wolf, Oak Ridge National Laboratory, USA
Sean Ziegler, US Naval Research Laboratory, USA

Early Career Program Committee

Tim Biedert, University of Kaiserslautern, Germany
Roba Binyahib, University of Oregon, USA
Roxana Bujak, Los Alamos National Laboratory, USA
Wesley Griffin, National Institute of Standards and Technology, USA
Mark Kim, Oak Ridge National Laboratory, USA
Samuel Li, National Center for Atmospheric Research, USA
Nicole Marsaglia, University of Oregon, USA
Thomas G Szewczyk, Idaho National Laboratory, USA
Teng Wang, Lawrence Berkeley National Laboratory, USA

Contact

For questions about the workshop, please contact Gunther H. Weber at ghweber at lbl dot gov