[Swift-devel] CFP: 21st International Heterogeneity in Computing Workshop at IEEE IPDPS 2012

[Ioan Raicu]

*HCW 2012 Call for Papers
*

**

*The Twenty First International *

In conjunction with IPDPS 2012 <http://www.ipdps.org/>, 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.

*TOPICS*

------------------------------------------------------------------------
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*

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

*PAPER SUBMISSIONS*

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

*PUBLICATION*

------------------------------------------------------------------------
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*

------------------------------------------------------------------------
*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 M. 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 *

-- 
=================================================================
Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
=================================================================
Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
=================================================================
Cel:    1-847-722-0876
Office: 1-312-567-5704
Email:  iraicu at cs.iit.edu
Web:    http://www.cs.iit.edu/~iraicu/
Web:    http://datasys.cs.iit.edu/
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