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CFP: SDM 2014 Workshop on Mining Networks and Graphs: A Big Data Analytic Challenge

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  CFP: SDM 2014 Workshop on Mining Networks and Graphs: A Big Data Analytic Challenge "Pinar, Ali" <apinar@sandia.gov> - 2014-01-07 01:34 +0000
    Call for Participation SIAM EX14 - deadline Feb 28, 2014 bai <bai@cs.ucdavis.edu> - 2014-02-17 12:23 -0800

#752 — CFP: SDM 2014 Workshop on Mining Networks and Graphs: A Big Data Analytic Challenge

Reminder:  Deadline is this Friday.

Call for Papers. Submission deadline January 10.

SDM 2014 Workshop on
Mining Networks and Graphs: A Big Data Analytic Challenge
http://staff.vbi.vt.edu/maleq/MNG2014/index.php

April 24-26, 2014, Philadelphia, PA

The Workshop on Mining Networks and Graphs will be held on April 24-26,
2014 in Philadelphia, PA in conjunction with the SIAM International
Conference on Data Mining (SDM 2014)

The workshop is targeted for researchers interested in data mining,
machine learning, massive data analytics, network science, social
networks and high performance computing in its broadest sense. Both
theoreticians as well as practitioners, including system builders and
individuals applying network analytic methods in application domains
will be benefited from this workshop.

Networks are emerging as a common language to model a wide variety of
systems in life sciences, engineering, and social sciences. Real-world
applications give rise to networks that are unstructured and often
comprise of multiple-networks. Furthermore, they support multiple
dynamical processes that shape the network over time. Network science
refers to the broad discipline that seeks to understand the underlying
principles that govern the synthesis, analysis and co-evolution of networks.

The workshop will focus on processing large networks. Such networks can
be directed as well as undirected, they can be labeled or unlabeled or
they can be weighted or unweighted. Furthermore, network of networks is
also of interest. Specific scientific topics of interest to the meeting
include but are not restricted to: mining for patterns of interest in
the networks, efficient exact and approximation algorithms that are
either sequential or parallel for analyzing network properties. Recent
methods for processing large networks such as map-reduce based
frameworks, database techniques for processing networks. A particular
topic of interest is to couple structural properties of networks to the
dynamics over networks, e.g. contagions.


Ali Pinar, apinar@sandia.gov<mailto:apinar@sandia.gov>
Sandia National Labs, Livermore, CA 94551-9159
phone: 925-294-4683, fax: 925-294-2234
http://www.sandia.gov/~apinar

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#844 — Call for Participation SIAM EX14 - deadline Feb 28, 2014

Call for Participation

SIAM Workshop on Exascale Applied Mathematics Challenges and
Opportunities (http://www.siam.org/meetings/ex14/)

Co-located with 2014 SIAM Annual Meeting
(http://www.siam.org/meetings/an14/)

July 6, 2014
The Palmer House
Chicago, Illinois

Over the past few years, the focus of most workshops on exascale
computing (defined as the use of computers capable of at least one
quintillion calculations per second) has been the expected challenges
of billion-way concurrency and the associated issues such as data
motion, resilience, and energy usage.   Less attention has been paid
to the mathematics at exascale. The focus of this workshop is on
providing relevant, accessible and timely material on exascale
computing and the mathematical challenges with many-core and
accelerated architectures.  The intent is that attendees come away
with a reasonable idea of the current state of the art, the current
challenges and opportunities, and what needs to be done differently
going forward.  This workshop, a synthesis of the state of the field,
will be accessible to non-experts and experts alike.

The workshop will consist of a full day of contributed and invited
presentations and discussions on topics including, but not limited to:
*Current state of the art
   - Today's hardware
   - Parallel numerical algorithms and libraries
*Challenges
   - Emerging architectures that will enable exascale
   - Effectively using millions of computational units
   - Hybrid architectures
   - Resilience and fault-tolerant algorithms
   - Reproducibility
*Future directions
   - Compiler directives, domain libraries, or code changes, or ...?
   - Decomposition/coupling/multiphysics evolution
   - How can algorithm and library developers harness future  architectures

Case studies, position papers proposing topics for discussion, and
technical talks describing particular approaches are invited. The
organizers seek participants from a broad spectrum of areas, including
developers of scientific simulation codes and industrial end users.
The presentations are expected to be 30 minutes in length, but we will
entertain exceptions.

Those wishing to participate should submit an abstract or position
paper by February 28, 2014.  Papers should be submitted through
EasyChair at https://www.easychair.org/conferences/?conf=ex14.
Submissions should be no longer than 1000 words; no additional
material other than a list of cited references will be considered. Use
no smaller than 11-point font and at least one-inch margins.  There is
a limit of at most two submissions that an individual can submit; no
limits on number of groups/institutions. Each paper should provide
contact information (name, institution, email address) for a single,
corresponding author.  If you do not already have an account on
EasyChair, you will be asked to go through the easy process to create
one.

Notifications of acceptance will be sent by March 31, 2014.
Submissions will be selected based on their quality and responsiveness
to the call. We expect to post the selected papers online with the
agenda. Participants will be expected to fund their own travel and
accommodations for the workshop.

Please refer to the EX14 website (http://www.siam.org/meetings/ex14/)
for updates on the workshop details.

Organizing Committee
Mark R. Fahey, Chair, University of Tennessee and Oak Ridge 
National Laboratory, USA
Zhaojun Bai, University of California Davis, USA
Ed D'Azevedo, Oak Ridge National Laboratory, USA
James Ferguson, University of Tennessee, USA
Rebecca Hartman-Baker, iVEC, Australia
Michael Heroux, Sandia National Laboratory, USA
William Magro, Intel, USA
Lois Curfman McInnes, Argonne National Laboratory, USA

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