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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:Workshop\nData Management, Hot Topics, Scientific Computing, W
 orkshop Reg Pass\n\nIntroduction - The 4th International Workshop on Data 
 Reduction for Big Scientific Data (DRBSD-4)\n\nKlasky, Liu, Foster, Ainswo
 rth\n\nAs 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 r
 esearch 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 focus
 ed venue for researchers in this area to present their research results, e
 xchange ideas, identify new research directions, and foster new collaborat
 ions within the community. \nTopics of interest include but are not limite
 d to:\n•	Application use-cases which can drive the community to develop Mi
 niApps\n•	Data reduction methods for scientific data including:\n•	Data de
 duplication methods\n•	Motif-specific methods (structured and unstructured
  meshes, particles, tensors, …)\n•	Optimal design of data reduction method
 s\n•	Methods with accuracy guarantees\n•	Metrics to measure reduction qual
 ity and provide feedback \n•	Data analysis and visualization techniques th
 at take advantage of the reduced data\n•	Hardware and data co-design \n•	A
 ccuracy and performance trade-offs on current and emerging hardware\n•	New
  programming models for managing reduced data\n•	Runtime systems for data 
 reduction
URL:https://sc18.supercomputing.org/presentation/?id=wksp105&sess=sess143
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