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Thursday, 11 III 2010  
  
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2nd Workshop on LaSCoG `06  
 
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LaSCoG `06 full off-line/print materials – color version LaSCoG `06 full off-line/print materials – B&W version

2nd Workshop on Large Scale Computations on Grids (LaSCoG '06)
Wisla, Poland, November 6-10, 2006

The 2nd Large Scale Computations on Grids (LaSCoG '06) Workshop will be held conjunction with the First International Multiconference on Computer Science and Information Systems, which in turn is a part of the XXII Fall Meeting of Polish Information Processing Society. The first Workshop (LaSCoG '05) took place in Poznan, Poland, in conjunction with Sixth International Conference on Parallel Processing and Applied Mathematics (PPAM 2005).

The emerging paradigm for execution of large-scale computations, whether they originate as scientific or engineering applications, or for supporting large data-intensive calculations, is to utilize multiple computers at sites distributed across the Internet. In particular, computational grids are collections of distributed, possibly heterogeneous resources which can be used as ensembles to execute large-scale applications. While the vision of the global computational grid is extremely appealing, there remains a lot of work on all levels to achieve it. In this context the LaSCoG workshop is envisioned as a forum to promote exchange of ideas and results aimed at addressing complex issues that arise in developing large-scale computations on grids and running applications on them.

Covered topics include (but are not limited to) grid-focused aspects of:

  • Large-scale algorithms
  • Symbolic and numeric computations
  • High performance computations for large scale simulations
  • Large-scale distributed computations
  • Agent-based computing
  • Data models for large-scale applications
  • Security issues for large-scale computations
  • Science portals
  • Data visualization
  • Performance analysis, evaluation and prediction
  • Resource management, dynamic scheduling or load balancing
  • Programming models, software environments and tools
  • Peer-to-peer models and services for scalable grids
  • Collaborative science applications
  • Business applications


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