Towards a Bulk-Synchronous Distributed Shared Memory Programming Environment for Grids
The current practice in grid programming uses message passing, which unfortunately leads to code that is difficult to understand, debug and optimize. Hence, for grids to become commonly accepted, also as general-purpose parallel computation platforms, suitable parallel programming environments need to be developed.
In this paper we propose an approach to realize a distributed shared memory programming environment for computational grids called GridNestStep, by adopting NestStep, a structured parallel programming language based on the Bulk Synchronous Parallel model of parallel computation.
Unable to display preview. Download preview PDF.
- 1.Foster, I., Kesselman, C.: The Grid 2: Blueprint for a New Computing Infrastructure, 2nd edn. Morgan Kaufmann Publishers, San Francisco (2003)Google Scholar
- 3.The Globus Alliance, http://www.globus.org
- 8.van Nieuwpoort, R.V., Kielmann, T., Bal, H.E.: Efficient Load Balancing for Wide-Area Divide-and-Conquer Applications. In: Proceedings of the Eighth ACM SIGPLAN Symposium on Principles and Practices of Parallel Programming (2001)Google Scholar
- 9.Fritzson, P.: Principles of Object-Oriented Modeling and Simulation with Modelica 2.1. Wiley-IEEE Press (2004) Google Scholar
- 10.SweGrid, http://www.swegrid.se
- 11.Eerola, P., et al.: The NorduGrid architecture and tools. Proceedings of Computing in High Energy and Nuclear Physics (2003)Google Scholar