High-performance computing simulations and large scientific experiments generate tens of terabytes of data, and these data sizes grow each year. Existing systems for storing, managing, and analyzing data are being pushed to their limits by these applications, and new techniques are necessary to enable efficient data processing for future simulations and experiments.
This workshop will provide a forum for engineers and scientists to present and discuss their most recent work related to the storage, management, and analysis of data for scientific workloads. Emphasis will be placed on forward-looking approaches to tackle the challenges of storage at extreme scale or to provide better abstractions for use in scientific workloads.
Topics of interest include, but are not limited to
- parallel file systems
- scientific databases
- active storage
- scientific I/O middleware
- extreme scale storage
Important Dates:
- Paper Submission Deadline:
May 25, 2012extended deadline: June 1, 2012 - Author Notification: June 22, 2012
- Final Manuscript Due: July 7, 2012
- Workshop:
September 24, 2012IMPORTANT: workshop rescheduled to September 28, 2012!
Committee:
- Philip Carns, Argonne National Laboratory (co-organizer)
- Osamu Tatebe, University of Tsukuba (co-organizer)
- Francisco Javier García Blas, Universidad Carlos III de Madrid
- Hideyuki Kawashima, University of Tsukuba
- Hiroya Matsuba, Hitachi
- Carlos Maltzahn, UCSC & Ultra-scale Research Center at New Mexico Consortium
- Ron Oldfield, Sandia National Laboratory
- Yoshihiro Oyama, University of Electro-Communications
- Shinji Sumimoto, Fujitsu
- Andrew Uselton, Lawrence Berkeley National Laboratory
- Pete Wyckoff, NetApp, Inc.