The 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD 2022)
(Call for Papers)

November 13th, 2022 @ Dallas, Texas, USA
https://drbsd.github.io

Important dates

Full papers due: August 15, 2022
Deadlines are Anywhere on Earth (AoE)

DRBSD 2022 is organized in conjunction with SC22.

The Call for Papers for the 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-8) is now open, with a submission deadline of August 15, 2022 (AoE). DRBSD is a prestigious workshop in scientific data reduction and analysis, and quite a few outstanding works have been published in this workshop for years.

Topics of interest include but are not limited to:
• Data reduction methods for scientific data
  ° Data deduplication methods
  ° Motif-specific methods (structured and unstructured meshes, particles, tensors, ...)
  ° Methods with accuracy guarantees
  ° Feature/QoI-preserving reduction
  ° Optimal design of data reduction methods
  ° Compressed sensing and singular value decomposition
• Metrics to measure reduction quality and provide feedback
• Data analysis and visualization techniques that take advantage of the reduced data
  ° AI/ML methods
  ° Surrogate/reduced-order models
  ° Feature extraction
  ° Visualization techniques
  ° Artifact removal during reconstruction
  ° Methods that take advantage of the reduced data
• Data analysis and reduction co-design
  ° Methods for using accelerators
  ° Accuracy and performance trade-offs on current and emerging hardware
  ° New programming models for managing reduced data
  ° Runtime systems for data reduction
• Large-scale code coupling and workflows
• Experience of applying data reduction and analysis in practical applications or use-cases
  ° State of the practice
  ° Application use-cases which can drive the community to develop MiniApps


Submission

Papers should be submitted electronically on SC Submission Website.
https://submissions.supercomputing.org

DRBSD-8 will accept full papers (6 pages, excluding references and appendix), and extended abstracts (2 pages, including references and appendix).

Submitted papers will be evaluated by at least 3 reviewers based upon technical merits.