[Storage-research-list] Call for Papers: DISCS-2014 Workshop at SC14

[Roth, Philip C.]

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CALL FOR PAPERS
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The 2014 International Workshop on 
Data-Intensive Scalable Computing Systems (DISCS)
http://discl.cs.ttu.edu/discs-2014

November 16, 2014
Ernest N. Morial Convention Center, New Orleans, LA, USA

Held in conjunction with SC14: The International Conference for High
Performance Computing, Networking, Storage and Analysis

In cooperation with ACM SIGHPC, http://sighpc.org
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* Scope of the Workshop *

Existing high performance computing (HPC) systems are designed primarily for
workloads requiring high rates of computation.  However, the widening
performance gap between processors and I/O systems, and trends toward higher
data intensity in scientific and engineering applications, suggest there is a
need to rethink HPC system architectures, programming models, runtime systems,
and tools with a focus on data intensive computing.  The 2014 International
Workshop on Data Intensive Scalable Computing Systems (DISCS) provides a forum
for researchers interested in HPC and data intensive computing to exchange
ideas and discuss approaches for addressing Big Data challenges.

* Topics of Interest *

The topics of interest for the DISCS-2014 workshop include, but are not limited
to:

* HPC system architectures for data intensive applications
 o Data-centric system architectures
 o I/O systems and architectures
 o System area networks
 o Power efficient systems
* Programming models supporting data intensive applications
 o Data-centric programming models
 o MPI extensions for data intensive applications
 o GAS/PGAS programming model extensions for data intensive applications
 o Non-traditional programming languages/methodologies
* Runtime systems supporting data intensive applications
 o Communication systems for supporting data intensive applications
 o Data compression and de-duplication
 o Caching and prefetching
 o Reliability and fault tolerance
 o Data integrity and consistency
* Productivity tools supporting data intensive applications
 o Data analytic tools
 o Tracing and trace analysis tools
 o Data mining and knowledge discovery tools
 o Computational, mathematical and statistical techniques and tools supporting such techniques
 o Data visualization techniques and tools supporting such techniques


* Submission Instructions *

Submissions should be unpublished work and in PDF format on US Letter sized
paper (8.5"x11") with not more than 8 pages (all inclusive) formatted according
to the IEEE double-column format for Conference Proceedings (IEEEtran
template). All accepted papers will appear in the workshop proceedings in the
ACM Digital Library and IEEE Xplore. See
http://discl.cs.ttu.edu/discs-2014/?q=submissions for details.  


* Journal Special Issue *

The authors of papers accepted to the DISCS-2014 workshop and with relevance to
an application will be invited to extend the manuscript for a special issue of
the International Journal of High Performance Computing Applications (IJHPCA),
guest-edited by the DISCS-2014 workshop chairs. The target submission deadline
for the journal papers is January 23, 2015.  More details will be posted
to the DISCS-2014 web site as they become available.


* Important Dates *

Paper Submission:      August 8, 2014
Author Notification:   September 19, 2014
Camera-Ready Copy Due: October 10, 2014
Workshop Date:         November 16, 2014


* Organizers *

GENERAL CHAIR
Yong Chen, Texas Tech University

PROGRAM CHAIRS
Philip C. Roth, Oak Ridge National Laboratory
Weikuan Yu, Auburn University

TECHNICAL PROGRAM COMMITTEE
Suren Byna, Lawrence Berkeley National Laboratory
Shane Canon, Lawrence Berkeley National Laboratory
Dan Feng, Huazhong University of Science and Technology
Yuqing Gao, IBM Research
Rong Ge, Marquette University
Mitch Horton, Georgia Institute of Technology
Dries Kimpe, Argonne National Laboratory
Scott Klasky, Oak Ridge National Laboratory
Quincey Koziol, The HDF Group
Michael Lang, Los Alamos National Laboratory
John Leidel, Texas Tech University
Jay Lofstead, Sandia National Laboratories
Carlos Maltzahn, University of California, Santa Cruz
Seung Woo Son, Northwestern University
Zhiqi Tao, Intel Corporation
Yuan Tian, Oak Ridge National Laboratory
Abhinav Vishnu, Pacific Northwest National Laboratory
Yandong Wang, IBM Research
Weijun Xiao, Virginia Commonwealth University
Weijia Xu, Texas Advanced Computing Center
Hui Zhang, Indiana University

STEERING COMMITTEE
William D. Gropp, University of Illinois Urbana-Champaign
Xian-He Sun, Illinois Institute of Technology
Rajeev Thakur, Argonne National Laboratory