HCW 2012 - HCW 2012 21st International Heterogeneity in Computing Workshop

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 Badia, Barcelona Supercomputing Center, 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, 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