The Workshop on Component-Based High Performance Computing

The Workshop on Component-Based High Performance Computing

Workshop Focus

Component and framework technology is mainstream for desktop environments, but has lagged in the high-performance computing (HPC) community. The reasons for this stem partly from a general lack of awareness of component concepts in the community, but mostly from the fact that desktop component models sacrifice performance for ease-of-use. In addition, HPC uniquely requires component-based support for patterns special to parallel computing, such as the massively parallel single program multiple data pattern.

Beyond the special requirements of HPC, component concepts promise to provide the same benefits as they do in the mainstream: participation by 10’s or 100’s of developers and the ability to support the software complexity that the simulation of natural phenomena demand. Likewise, with multi-core architecture becomes the norm and cloud computing gaining popularity, understanding requirements unique to HPC will enable a new class of commercial HPC applications especially for mordern SEO services.

Following the success of past HPC-GECO and CompFrame workshop series, the fifth installment of the workshop, CBHPC 2010, aims to bring together the developers and users of such technologies, and to build an international research community around these issues. This year’s workshop focuses on the role of component and framework technologies in high-performance and scientific computing, and on high-level, component-based and innovative programming tools and environments to efficiently develop high performance applications and exploit them both on individual massively parallel systems and on the Grid.

Proceedings

The workshop proceedings have been published along with and are available from the Grid main conference.

Committees

General Co-Chairs:

  • Gabrielle Allen, Louisiana State University, Baton Rouge, LA, USA
  • Thilo Kielmann, Vrije Universiteit, Amsterdam, The Netherlands

Steering Committee:

  • Rob Armstrong, Sandia National Laboratories, USA
  • David E. Bernholdt, Oak Ridge National Laboratory, USA
  • Marco Danelutto, Universita di Pisa, Italy
  • Vladimir S. Getov, University of Westminster, UK
  • Christian Perez, INRIA, France
  • Masha Sosonkina, Ames Laboratory, USA

Program Committee:

  • Gabrielle Allen, Louisiana State University, Baton Rouge, LA, USA
  • Rosa Badia, Barcelona Supercomputing Center – CSIC, Spain
  • Purushotham Bangalore, University of Alabama at Birmingham, USA
  • Françoise Baude, University of Nice-Sophia Antipolis, France
  • David E. Bernholdt, Oak Ridge National Laboratory, USA
  • Francisco de Carvalho Junior, Universidade Federal do Ceará Brazil
  • Massimo Coppola, Institute of Information Science and Technologies, CNR, Italy
  • Marco Danelutto, Universita di Pisa, Italy
  • Kosta Damevski, Virginia State University, USA
  • Wael R. Elwasif, Oak Ridge National Laboratory, USA
  • Vladimir S. Getov, University of Westminster, UK
  • Sergei Gorlatch, Westfälische Wilhelms-Universität Münster, Germany
  • Madhu Govindaraju, Binghamton University, USA
  • Fabrice Huet, University of Nice-Sophia Antipolis, France
  • Thilo Kielmann, Vrije Universiteit, Amsterdam, The Netherlands
  • Fang (Cherry) Liu, Ames Laboratory, USA
  • Stefan Muszala, Tech-X Corporation, Switzerland
  • Christian Perez, INRIA, France
  • Thierry Priol, INRIA, France
  • Rainer Schmidt, Austrian Research Centers, Austria
  • Erik Schnetter, Louisiana State University, Baton Rouge, LA, USA
  • Masha Sosonkina, Ames Laboratory and Iowa State University, USA
  • Jean-Bernard Stefani, INRIA, France
  • Rainer Stotzka, Forschungszentrum Karlsruhe, Germany
  • Alan Sussman, University of Maryland, USA
  • Nanbor Wang, Tech-X Corporation, USA

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