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HCW 2012 : 21st International Heterogeneity in Computing Workshop (in conjunction with IPDPS 2012) | |||||||||||||||
Link: http://hcw.wsu.edu/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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*** 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) --------------------------------------------------------------------------------- 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 14, 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 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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