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SCHEDULE: NOV 15-20, 2015
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ISAV2015: First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
SESSION: ISAV2015: First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
EVENT TYPE: Workshops
EVENT TAG(S): SIGHPC Workshop, Data-Intensive Computing, Visualization
TIME: 2:00PM - 5:30PM
Organizer(s):E. Wes Bethel, Venkatram Vishwanath, Gunther H. Weber, Matthew Wolf
ROOM:Hilton Salon D
ABSTRACT:
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.
The workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories using 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.
This workshop will produce a refereed proceedings that will be available through the ACM Digital Library and IEEE Xplore (free of charge during and immediately after SC, and free after that to SIGHPC members).
More at: http://vis.lbl.gov/Events/ISAV-2015/
Chair/Organizer Details:
E. Wes Bethel - Lawrence Berkeley National Laboratory
Venkatram Vishwanath - Argonne National Laboratory
Gunther H. Weber - Lawrence Berkeley National Laboratory
Matthew Wolf - Georgia Institute of Technology
Click here to download .ics calendar file