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Call for Papers
The 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD-1)
in Conjunction with ISC’17
June 22nd, 2017
Frankfurt, Germany
As the speed gap between compute and storage continues to exist and widen, the increasing data volume and velocity pose major challenges for big data applications in terms of storage and analysis. This demands new research and software tools that can further reduce data by several orders of magnitude, taking advantage of new architectures and hardware available on next generation systems. This international workshop on data reduction is a response to this renewed research direction and will provide a focused venue for researchers in this area to present their research results, exchange ideas, identify new research directions, and foster new collaborations within the community.
Topics of interest include but are not limited to:
• Application use-cases which can drive the community to develop MiniApps
• Data reduction methods for scientific data including:
Data deduplication methods
Motif-specific methods (structured and unstructured meshes, particles, tensors, …)
Optimal design of data reduction methods
Methods with accuracy guarantees
• Metrics to measure reduction quality and provide feedback
• Data analysis and visualization techniques that take advantage of the reduced data
• Hardware and data co-design
• Accuracy and performance trade-offs on current and emerging hardware
• New programming models for managing reduced data
• Runtime systems for data reduction
Important Dates
Paper Deadline: April 1st, 2017 (AoE)
Author Notification: April 15th, 2017
Camera Ready Final Papers: June 15th, 2017 (AoE)
Submissions
Papers should be submitted electronically on Easychair (https://easychair.org/
• General information on paper format can be found on Springers LNCS “Information for Authors of Computer Science Publications”.
• Paper submissions are required to be within 10 pages excluding references.
• Submitted papers will be evaluated by at least 3 reviewers based upon technical merits and the accepted paper will be published with Springer.
Organizing Committee
Scott Klasky, Oak Ridge National Laboratory
Gary Liu, New Jersey Institute of Technology
Mark Ainsworth, Brown University/Oak Ridge National Laboratory
Ian Foster, Argonne National Laboratory/University of Chicago
Technical Program Committee
Frank Cappello, Argonne National Laboratory
Peter Lindstrom, Lawrence Livermore National Laboratory
Tamara Kolda, Sandia National Laboratory
Todd Munson, Argonne National Laboratory
George Ostrouchov, Oak Ridge National Laboratory
Scott Klasky, Oak Ridge National Laboratory
Mark Ainsworth, Brown University/Oak Ridge National Laboratory
John Wu, Lawrence Berkeley National Laboratory
Todd Munson, Argonne National Laboratory
Eric Suchyta, Oak Ridge National Laboratory
Martin Burtscher, Texas State University
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