Call for Papers:
Fourth High-Performance Grid Computing Workshop March 26, 2007, Long Beach, California, USA
in conjunction with
International Parallel and Distributed Processing Symposium - IPDPS 2007 March 26-30, 2007, Long Beach, California, USA
Background
Computational grids allow the federation of significant computational and storage resources to solve challenging problems in science, engineering, medicine, finance, and entertainment. Involvement of multi-core platforms and wireless communications in the traditional grids comprised of clusters, workstations, and supercomputers pose new challenges to manage the grids and open new opportunities in using them. The High Performance Grid Computing workshop provides a forum for presenting research results on most aspects of grid computing, with a focus on performance, in the following areas: Applications, Benchmarking, Infrastructure, Management and Scheduling, Partitioning and Load Balancing, and Programming Models.
Intel Best Paper Award New this year, Intel Corporation is sponsoring a best paper award in the area of High Performance Grid Computing with multi-core servers. The winning paper will demonstrate an innovative use of multi-core processors in computational or data grids and an achievement of high performance computing results. The best paper will be selected from the papers presented at HPGC in 2007 by the HPGC program committee and selected IPDPS committee members based on the following criteria:
* Peak performance of the grid used * Percentage of the peak performance achieved by the application * Percentage of multi-core processors used * Geographical distribution of the grid * HPC problem solved * Novelty of the approach
Entries are to be submitted to HPGC (see submission instructions below). Papers nominated for the award will be announced after the program committee has reviewed HPGC submissions (by December 18).
Topics
* Applications: Theory and practice of composing grid applications consisting of multiple interacting tasks. Solution of large problems on grids. * Benchmarking: Grid measurement technology for evaluating performance of grid hardware and middleware; benchmark results. * Infrastructure: Implementation and evaluation of computational grid middleware. * Management and Scheduling: Management, monitoring, resource allocation, scheduling, and metascheduling. * Partitioning and Load Balancing: Partitioning applications for computational grids for achieving high performance, and load balancing of grid applications. * Multi-core processors as grid components. * Programming Models: Methods for remote execution and inter-task communications.
Please see more details at: http://www.cs.unb.ca/profs/aubanel/hpgc/
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