*** Call for Papers ***
HCW 2012 - 21st International Heterogeneity in Computing Workshop
In conjunction with IPDPS 2012, May 21, 2012, Shanghai, China
http://hcw.wsu.edu/
Sponsored by the IEEE Computer Society,
through the Technical Committee on Parallel Processing (TCPP),
and by the U.S. Office of Naval Research (ONR)
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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.
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.
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.
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.
TOPICS
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Areas or research interest include, but are not limited to, heterogeneity
aspects of:
- Parallel algorithms for heterogeneous and hierarchical systems, including
manycores and hardware accelerators (FPGAs, GPUs, etc.)
- Parallel algorithms for efficient problem solving on heterogeneous platforms
- Performance models and their use in the design of parallel and distributed
algorithms for heterogeneous platforms
- Programming paradigms and tools
- Fault tolerance
- Resource allocation and scheduling
- Computer architectures
- Performance evaluation and management
- High performance computing
- Cluster, Grid and Cloud computing
- Peer-to-peer computing
- Ubiquitous computing
- Application case studies
- Task and communication scheduling
- Task coordination and workflow
IMPORTANT DATES
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Paper submission: January 7, 2012
Author Notification: February 7, 2012
Camera-ready: February 21, 2012
PAPER SUBMISSIONS
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Prospective authors are encouraged to visit the HCW 2012 website
(hcw.wsu.edu) for instructions on how to submit their papers.
PUBLICATION
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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.
WORKSHOP ORGANIZATION
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General Chair:
Behrooz Shirazi, Washington State University, U.S.A.
Program Chair:
Alexey Lastovetsky, University College Dublin, Ireland
Steering Committee:
H. J. Siegel, Colorado State University, U.S.A., Chair
John Antonio, University of Oklahoma, U.S.A.
Francine Berman, Rensselaer Polytechnic Institute, U.S.A.
Jack Dongarra, University of Tennessee, U.S.A.
Jerry Potter, Colorado State University, U.S.A.
Viktor K. Prasanna, University of Southern California, U.S.A.
Yves Robert, Ecole Normale Superieure de Lyon, France
Arnold Rosenberg, Colorado State University, Northeastern University, U.S.A.
Vaidy Sunderam, Emory University, U.S.A.
Program Committee:
Shoukat Ali, IBM, Ireland
Francisco Almeida, University of La Laguna, Spain
Rosa Badia, Barcelona Supercomputing Center and CSIC, Spain
Ioana Banicescu, Mississippi State University, U.S.A.
Olivier Beaumont, INRIA, France
Shuvra S. Bhattacharyya, University of Maryland, U.S.A.
George Bosilca, University of Tennessee, U.S.A.
Eddy Caron, ENS-Lyon, France
Domingo Gimenez, University of Murcia, Spain
Alexey Kalinov, Cadence Design Systems, Russia
Tahar Kechadi, University College Dublin, Ireland
Jong-Kook Kim, Korea University, South Korea
Thomas Ludwig, University of Hamburg, Germany
Tony Maciejewski, Colorado State University, U.S.A.
John P. Morrison, University College Cork, Ireland
Dana Petcu, Western University of Timisoara, Romania
Antonio Plaza, University of Extremadura, Spain
Xiao Qin, Auburn University, U.S.A.
Enrique Quintana, University of Jaume I of Castellon, Spain
Ioan Raicu, Northwestern University, U.S.A.
Alistair Rendell, Australian National University, Australia
Gudula Runger, TU Chemnitz, Germany
Vladimir Rychkov, University College Dublin, Ireland
Uwe Schwiegelshohn, University of Dortmund, Germany
Stephen L. Scott, Tennessee Tech University & Oak Ridge National Laboratory, U.S.A.
James T. Smith, DigitalGlobe, U.S.A.
Leonel Sousa, Technical University of Lisbon, Portugal
Stanimire Tomov, University of Tennessee, U.S.A.
Denis Trystram, IMAG, France
Carlos Varela, Rensselaer Polytechnic Institute, U.S.A.
Qin Zheng, A*Star, Singapore
