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<b>
HCW 2012 Call for Papers<br>
</b></p>
<div align="center"><b><strong>
<p align="center"><strong>The Twenty First International </strong><br>
<img src="cid:part1.00010909.06030001@cs.iit.edu" alt=""
v:shapes="_x0000_i1025" height="150"></p>
<p align="center"><span xml:lang="EN-GB" lang="EN-GB"> In
conjunction with <a href="http://www.ipdps.org/">IPDPS
2012</a>, May 21, 2012, Shanghai, China</span></p>
<p align="center">Sponsored by the IEEE Computer Society, <br>
through the Technical Committee on Parallel Processing
(TCPP), <br>
and by the U.S. Office of Naval Research (ONR).</p>
</strong> </b></div>
<b>
<p>Today, most computing systems have elements of heterogeneity.
Heterogeneity springs from the richness of environments where
diversity and resource abundance prevail. Recognizing,
capturing, and efficiently exploiting this diversity in an
integrated and coherent manner are key goals of heterogeneous
computing.</p>
<p>Heterogeneous computing systems are those with a range of
diverse computing resources that can be on a chip, within a
computer, or on a local or geographically distributed network.
The development of heterogeneous multi-core chips and the
pervasive use of networks by all segments of society mean that
the number and types of heterogeneous computing resources are
growing rapidly. This growth creates the need and opportunity
for new research to effectively utilize these resources in
innovative and novel ways. For example, cluster computing, grid
computing, peer-to-peer computing, and cloud computing all
involve elements of heterogeneity. The effective implementation
of efficient applications in these environments, however,
requires that a host of issues be addressed that simply do not
occur in homogeneous systems.</p>
<p>Whereas many researchers and practitioners that use computers
have a peripheral awareness of heterogeneity in their respective
fields, few critically approach their fields from the
heterogeneous perspective. This is not particularly surprising,
because each field has its own unique challenges and imperatives
that propel investigations in search of solutions to pressing
problems. Addressing computing problems from the heterogeneous
perspective offers at least three advantages: (i) the design and
development of more advanced high-performance computing
platforms, (ii) insight into new solution approaches, and (iii)
exposure to new research opportunities and relationships among
distinct research areas. HCW encourages the examination of both
hardware and software systems from the perspective of
heterogeneity.</p>
<p>With the increasing number of components in heterogeneous
parallel and distributed systems, failure is becoming a critical
factor that impacts application performance. High-performance
computing systems, especially those heading towards exascale,
are also becoming increasingly heterogeneous and hierarchical,
expecting to routinely employ heterogeneous multicores, various
accelerators (such as GPUs), deeper memory hierarchies, and
heterogeneous and hierarchical communication networks. This
year, HCW is specifically encouraging (but not limited to)
submissions that explore paradigms, algorithms, and techniques
for high performance heterogeneous computing.</p>
<p> <strong>TOPICS</strong> </p>
<hr> Areas or research interest include, but are not limited to,
heterogeneity aspects of:<br>
<ul>
<li>Parallel algorithms for heterogeneous and hierarchical
systems, including manycores and hardware accelerators (FPGAs,
GPUs, etc.)</li>
<li>Parallel algorithms for efficient problem solving on
heterogeneous platforms</li>
<li>Performance models and their use in the design of parallel
and distributed algorithms for heterogeneous platforms</li>
<li>Programming paradigms and tools</li>
<li>Fault tolerance</li>
<li>Resource allocation and scheduling</li>
<li>Computer architectures</li>
<li>Performance evaluation and management</li>
<li>High performance computing</li>
<li>Cluster, Grid and Cloud computing</li>
<li>Peer-to-peer computing</li>
<li>Ubiquitous computing</li>
<li>Application case studies</li>
<li>Task and communication scheduling</li>
<li>Task coordination and workflow</li>
</ul>
<p><strong>IMPORTANT DATES</strong> </p>
<hr> Paper submission: January 7, 2012<br>
Author Notification: February 7, 2012<br>
Camera-ready: February 21, 2012<br>
<p><strong>PAPER SUBMISSIONS</strong> </p>
<hr> Prospective authors are encouraged to visit the HCW 2012
website (hcw.wsu.edu) for instructions on how to submit their
papers.
<p><strong>PUBLICATION</strong> </p>
<hr> The HCW 2012 proceedings will be published through the IEEE
Computer Society Press as part of the IPDPS CD-ROM. The authors of
accepted papers will be also invited to submit extended versions
of their work to a special issue of the Journal of Parallel and
Distributed Computing (JPDC) on Heterogeneity in Parallel and
Distributed Computing that is planned for publication in 2012.
<p><strong>WORKSHOP ORGANIZATION</strong> </p>
<hr> <strong>General Chair</strong>:<br>
Behrooz Shirazi, Washington State University, U.S.A.<br>
<br>
<strong>Program Chair</strong>:<br>
Alexey Lastovetsky, University College Dublin, Ireland<br>
<br>
<strong>Steering Committee</strong>:<br>
H. J. Siegel, Colorado State University, U.S.A., Chair<br>
John Antonio, University of Oklahoma, U.S.A.<br>
Francine Berman, Rensselaer Polytechnic Institute, U.S.A.<br>
Jack Dongarra, University of Tennessee, U.S.A.<br>
Jerry Potter, Colorado State University, U.S.A.<br>
Viktor K. Prasanna, University of Southern California, U.S.A.<br>
Yves Robert, Ecole Normale Superieure de Lyon, France<br>
Arnold Rosenberg, Colorado State University, Northeastern
University, U.S.A.<br>
Vaidy Sunderam, Emory University, U.S.A.<br>
<br>
<br>
<strong>Program Committee</strong>:<br>
Shoukat Ali, IBM, Ireland<br>
Francisco Almeida, University of La Laguna, Spain<br>
Rosa M. Badia, Barcelona Supercomputing Center and CSIC, Spain<br>
Ioana Banicescu, Mississippi State University, U.S.A.<br>
Olivier Beaumont, INRIA, France<br>
Shuvra S. Bhattacharyya, University of Maryland, U.S.A.<br>
George Bosilca, University of Tennessee, U.S.A.<br>
Eddy Caron, ENS-Lyon, France<br>
Domingo Gimenez, University of Murcia, Spain<br>
Alexey Kalinov, Cadence Design Systems, Russia<br>
Tahar Kechadi, University College Dublin, Ireland<br>
Jong-Kook Kim, Korea University, South Korea<br>
Thomas Ludwig, University of Hamburg, Germany<br>
Tony Maciejewski, Colorado State University, U.S.A.<br>
John P. Morrison, University College Cork, Ireland<br>
Dana Petcu, Western University of Timisoara, Romania<br>
Antonio Plaza, University of Extremadura, Spain<br>
Xiao Qin, Auburn University, U.S.A.<br>
Enrique Quintana, University of Jaume I of Castellon, Spain<br>
Ioan Raicu, Northwestern University, U.S.A.<br>
Alistair Rendell, Australian National University, Australia<br>
Gudula Runger, TU Chemnitz, Germany<br>
Vladimir Rychkov, University College Dublin, Ireland<br>
Uwe Schwiegelshohn, University of Dortmund, Germany<br>
Stephen L. Scott, Tennessee Tech University & Oak Ridge
National Laboratory, U.S.A.<br>
James T. Smith, DigitalGlobe, U.S.A.<br>
Leonel Sousa, Technical University of Lisbon, Portugal<br>
Stanimire Tomov, University of Tennessee, U.S.A.<br>
Denis Trystram, IMAG, France<br>
Carlos Varela, Rensselaer Polytechnic Institute, U.S.A.<br>
Qin Zheng, A*Star, Singapore
</b>
<pre class="moz-signature" cols="72">--
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Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
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Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
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Cel: 1-847-722-0876
Office: 1-312-567-5704
Email: <a class="moz-txt-link-abbreviated" href="mailto:iraicu@cs.iit.edu">iraicu@cs.iit.edu</a>
Web: <a class="moz-txt-link-freetext" href="http://www.cs.iit.edu/~iraicu/">http://www.cs.iit.edu/~iraicu/</a>
Web: <a class="moz-txt-link-freetext" href="http://datasys.cs.iit.edu/">http://datasys.cs.iit.edu/</a>
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