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DTSTART;TZID=America/Chicago:20181111T140000
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UID:submissions.supercomputing.org_SC18_sess143_wksp105@linklings.com
SUMMARY:Introduction - The 4th International Workshop on Data Reduction fo
 r Big Scientific Data (DRBSD-4)
DESCRIPTION:Scott Klasky (Oak Ridge National Laboratory), Qing Liu (New Je
 rsey Institute of Technology), Ian Foster (Argonne National Laboratory), a
 nd Mark Ainsworth (Brown University)\n\nAs the speed gap between compute a
 nd storage continues to exist and widen, the increasing data volume and ve
 locity pose major challenges for big data applications in terms of storage
  and analysis. This demands new research and software tools that can furth
 er reduce data by several orders of magnitude, taking advantage of new arc
 hitectures and hardware available on next generation systems. This interna
 tional workshop on data reduction is a response to this renewed research d
 irection and will provide a focused venue for researchers in this area to 
 present their research results, exchange ideas, identify new research dire
 ctions, and foster new collaborations within the community. \nTopics of in
 terest include but are not limited to:\n•	Application use-cases which can 
 drive the community to develop MiniApps\n•	Data reduction methods for scie
 ntific data including:\n•	Data deduplication methods\n•	Motif-specific met
 hods (structured and unstructured meshes, particles, tensors, …)\n•	Optima
 l design of data reduction methods\n•	Methods with accuracy guarantees\n•	
 Metrics to measure reduction quality and provide feedback \n•	Data analysi
 s and visualization techniques that take advantage of the reduced data\n•	
 Hardware and data co-design \n•	Accuracy and performance trade-offs on cur
 rent and emerging hardware\n•	New programming models for managing reduced 
 data\n•	Runtime systems for data reduction\n\nTag: Data Management, Hot To
 pics, Scientific Computing\n\nRegistration Category: Workshop Reg Pass\n\n
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