[hpc-announce] The 3rd International Workshop on Data Reduction for Big Scientific Data (DRBSD-3) in Conjunction with ISC’18

[Liu, Qing]

*Call for Papers*

The 3rd International Workshop on Data Reduction for Big Scientific Data
(DRBSD-3)
in Conjunction with ISC’18
June 28th, 2018
Frankfurt, Germany

https://web.njit.edu/~qliu/drbsd3.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:
• New!!Performance evaluations and application case studies
• 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, 2018 (AoE)
Author Notification: April 30th, 2018
Camera Ready Final Papers: June 15th, 2018 (AoE)

*Submissions*
Papers should be submitted electronically on Easychair (
https://easychair.org/conferences/?conf=drbsd3).

• 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.

Any questions related to this workshop need to be directed to klasky at ornl
or qing.liu at njit.edu


On Tue, Feb 27, 2018 at 5:07 PM, Liu, Qing <qing.liu at njit.edu> wrote:

> *Call for Papers*
>
> The 3rd International Workshop on Data Reduction for Big Scientific Data
> (DRBSD-3)
> in Conjunction with ISC’18
> June 28th, 2018
> Frankfurt, Germany
>
> https://web.njit.edu/~qliu/drbsd3.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:
> • New!!Performance evaluations and application case studies
> • 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, 2018 (AoE)
> Author Notification: April 30th, 2018
> Camera Ready Final Papers: June 15th, 2018 (AoE)
>
> *Submissions*
> Papers should be submitted electronically on Easychair (
> https://easychair.org/conferences/?conf=drbsd3).
>
> • 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.
>
> Any questions related to this workshop need to be directed to klasky at ornl
> or qing.liu at njit.edu
>
>
> --
> 973-596-3526 <(973)%20596-3526>
>



-- 
973-596-3526
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.mcs.anl.gov/mailman/private/hpc-announce/attachments/20180321/f9b3eac2/attachment.html>