[Apologies if you received multiple copies of this email. ] ------------------------------------------------------------------- The 8th Parallel Data Storage Workshop (PDSW13) held in conjunction with IEEE/ACM Supercomputing (SC) 2013 Denver, Colorado, Monday, November 18, 2013 ------------------------------------------------------------------- URL: http://www.pdsw.org <http://www.pdsw.org/> Peta- and exascale computing infrastructures make unprecedented demands on storage capacity, performance, concurrency, reliability, availability, and manageability. This one-day workshop focuses on the data storage and management problems and emerging solutions found in peta- and exascale scientific computing environments, with special attention to issues in which community collaboration can be crucial for problem identification, workload capture, solution interoperability, standards with community buy-in, and shared tools. Addressing storage media ranging from tape, HDD, and SSD, to new media like NVRAM, the workshop seeks contributions on relevant topics, including but not limited to: - performance and benchmarking - failure tolerance problems and solutions - APIs for high performance features - parallel file systems - high bandwidth storage architectures - support for high velocity or complex data - metadata intensive workloads - autonomics for HPC storage - virtualization for storage systems - archival storage advances - resource management innovations - incorporation of emerging storage technologies. Paper Submissions: The Parallel Data Storage Workshop holds a peer reviewed competitive process for selecting short papers. Submit a not previously published short paper of up to 5 pages, not less than 10 point font and not including references, in a PDF file as instructed on the workshop web site. Submitted papers will be reviewed under the supervision of the workshop program committee. Submissions should indicate authors and affiliations. Final papers must not be longer than 5 pages (excluding references). Selected papers and associated talk slides will be made available on the workshop web site; the papers will also be published in the digital library of the IEEE or ACM. Paper Submission Deadline: Sun, Oct. 6, 2013, 11:59 pm EDT Paper Notification: Fri, Oct. 25, 2013 Camera Ready Due: Wed, Nov. 13, 2013 Softcopy and Slides Due: Sat, Nov. 16, 2013, 5:00 pm ET, BEFORE the workshop Poster Submissions: There will also be a poster session at the workshop; accepted papers will ALWAYS be accepted for a poster. Others interested in presenting a related technical poster (posters with technical results for storage products are also encouraged) should submit a short poster abstract as instructed on the workshop web site. Poster Submission Deadline: Tuesday, Nov. 12, 2013 Poster Notification: Thursday, Nov. 14, 2013 Program Committee: Karsten Schwan, Georgia Tech (PC Chair) Dean Hildebrand, IBM (PC Chair) Ahmed Amer, Santa Clara University John Bent, EMC Randal Burns, Johns Hopkins University Andreas Dilger, Intel Fred Douglis, EMC Garth Gibson, Carnegie Mellon University and Panasas Inc. Peter Honeyman, University of Michigan Song Jiang, Wayne State University Carlos Maltzahn, University of California, Santa Cruz Meghan Wingate McClelland, Xyratex Ron Oldfield, Sandia National Laboratories Narasimha Reddy, Texas A&M University Robert Ross, Argonne National Laboratory Keith A. Smith, NetApp Yuan Tian, Oak Ridge National Laboratory Steering committee: John Bent, EMC Scott Brandt, University of California, Santa Cruz Evan J. Felix, Pacific Northwest National Laboratory Garth A. Gibson, Carnegie Mellon University and Panasas Inc. Gary Grider, Los Alamos National Laboratory Peter Honeyman, University of Michigan Bill Kramer, National Center for Supercomputing Applications University of Illinois Urbana-Champaign Darrell Long, University of California, Santa Cruz Carlos Maltzahn, University of California, Santa Cruz Rob Ross, Argonne National Laboratory Philip C. Roth, Oak Ridge National Laboratory John Shalf, National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory Lee Ward, Sandia National Laboratories Cheers, Andreas -- Andreas Dilger Lustre Software Architect Intel High Performance Data Division