[hpc-announce] REMINDER: CFP: HCW 2012 - 21st International Heterogeneity in Computing Workshop (in conjunction with IPDPS 2012), May 21, 2012, Shanghai, China

Vladimir Rychkov vladimir.rychkov at ucd.ie
Fri Dec 2 04:03:12 CST 2011

[Our apologies if you receive this CFP more than once]
                             *** Call for Papers ***
         HCW 2012 - 21st International Heterogeneity in Computing Workshop
           In conjunction with IPDPS 2012, May 21, 2012, Shanghai, China

                     Sponsored by the IEEE Computer Society, 
          through the Technical Committee on Parallel Processing (TCPP), 
                  and by the U.S. Office of Naval Research (ONR)
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. 

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
- 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

Paper submission:    January 7, 2012 
Author Notification: February 7, 2012 
Camera-ready:        February 21, 2012 

Prospective authors are encouraged to visit the HCW 2012 website
(hcw.wsu.edu) for instructions on how to submit their papers.

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. 


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

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