[hpc-announce] CFP HCW 2013

Uwe Schwiegelshohn uwe.schwiegelshohn at udo.edu
Fri Nov 9 05:59:07 CST 2012


                        Call for paper for the twenty second international

                               Heterogeneity in Computing Workshop

               in conjunction with IPDPS 2013, May 20, 2013, Boston, 
Massachusetts USA

sponsored by the IEEE Computer Society, through the Technical Committee 
on Parallel Processing (TCPP)

Heterogeneity is an important property of most modern computing systems. 
It is a consequence of the richness of current computing environments 
with their pronounced diversity in resources and requirements. 
Recognizing and efficiently exploiting this diversity in an integrated 
and coherent manner are key goals of heterogeneous computing.

On the one hand, heterogeneous computing systems have a range of diverse 
hardware resources that can be on a chip, within a computer, or on a 
local or geographically distributed network. Due to the rapid 
development of heterogeneous multi-core chips and the pervasive use of 
networks by all segments of society, 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. On the other hand, computing 
systems are often characterized by a variety of software resources that 
may or may not be coupled with specific hardware carriers. The effective 
implementation of efficient applications in these environments requires 
that a host of new concerns be addressed as these issues 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. However, 
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 parallel and distributed 
systems, failure is becoming a critical factor that impacts application 
performance. Due to the differences in the components of heterogeneous 
computing systems, failure handling is particularly challenging in these 
systems. This is especially true for petascale or even exascale systems 
and the corresponding applications. Such systems employ heterogeneous 
multicores, various accelerators (such as GPUs), deeper memory 
hierarchies, and heterogeneous and hierarchical communication networks. 
Applications on these large-scale systems are expected to run for a 
significant amount of time and therefore are likely to encounter several 
during their runtime. This year, HCW is specifically encouraging (but 
not limiting to) submissions that explore paradigms, algorithms, and 
techniques for the management of such high performance heterogeneous 
computing systems and applications.


Areas or research interest include, but are not limited to:

     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 for heterogeneous systems Fault 
tolerance for heterogeneous systems
     Resource management in heterogeneous systems including allocation 
and scheduling
     Heterogeneity in computer architectures
     Performance evaluation and management of heterogeneous systems and 
     High performance computing
     Different computing paradigms: Cluster, Grid, Cloud, and 
Peer-to-peer computing
     Ubiquitous computing with heterogeneous systems
     Application case studies
     Task coordination and workflow issues in heterogeneous systems


Paper submission: January 7, 2013
Author notification: February 7, 2013
Camera-ready paper: February 21, 2013


Prospective authors are encouraged to visit the HCW 2013 website 
(hcw.wsu.edu) for instructions on how to submit their papers.


General Chair:
Alexey Lastovetsky, University College Dublin, Ireland

Program Chair:
Uwe Schwiegelshohn, TU Dortmund University, Germany

Steering Committee:
Behrooz Shirazi, Washington 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.
H. J. Siegel, Colorado State University, U.S.A.
Vaidy Sunderam, Emory University, U.S.A

Program Committee:
Shoukat Ali, IBM Research, Ireland
Francisco Almeida, University of La Laguna, Spain
Rosa M. Badia, Barcelona Supercomputing Center
Ioana Banicescu, Mississippi State University, U.S.A.
Olivier Beaumont, INRIA, France
Anne Benoit, ENS Lyon
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
Tony Maciejewski, Colorado State University, U.S.A.
John P. Morrison, University College Cork, Ireland
Dana Petcu, Western University of Timisoara, Romania
Xiao Qin, Auburn University, U.S.A.
Enrique Quintana, University of Jaume I of Castellon, Spain
Mustafa Rafique, IBM Research Ireland
Gudula Runger, TU Chemnitz, Germany
Stephen L. Scott, Tennessee Tech University & Oak Ridge National 
Laboratory, U.S.A.
Leonel Sousa, Technical University of Lisbon, Portugal
Achim Streit, KIT, Karlsruhe, Germany
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


Uwe Schwiegelshohn
Robotics Research Institute
Electrical Engineering and Information Technology
TU Dortmund University
44221 Dortmund, Germany
mailto:Uwe.Schwiegelshohn at udo.edu
Phone: ++49 231 755 2634
Fax: ++49 231 755 3251

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