[hpc-announce] The 4th International Workshop on Data Reduction for Big Scientific Data (DRBSD-4) in Conjunction with SC'18

[Liu, Qing]

Call for Papers

The 4th International Workshop on Data Reduction for Big Scientific
Data (DRBSD-4)
in Conjunction with SC’18
Nov 11th, 2018
Dallas, TX

https://web.njit.edu/~qliu/drbsd4.html

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: September 15th, 2018 (AoE)
Author Notification: September 30th, 2018

Submissions
Papers should be submitted electronically on SC Submission Website.
* Paper submission must be in IEEE format.
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
* Paper submissions are required to be within 5 pages excluding references.
Submitted papers will be evaluated by at least 3 reviewers based upon
technical merits.



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