Spreadsheet Modeling and Decision Analysis
Spreadsheet Modeling and Decision Analysis
Simplified Grid Computing through Spreadsheets and NetSolve
HPCASIA '04 Proceedings of the High Performance Computing and Grid in Asia Pacific Region, Seventh International Conference
BOINC: A System for Public-Resource Computing and Storage
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Grid-enabling FIRST: Speeding Up Simulation Applications Using WinGrid
DS-RT '06 Proceedings of the 10th IEEE international symposium on Distributed Simulation and Real-Time Applications
Introduction to Management Science with Spreadsheets (McGraw-Hill/Irwin Series Operations and Decision Sciences)
Parallel Programming in C with MPI and OpenMP
Parallel Programming in C with MPI and OpenMP
Proceedings of the 38th conference on Winter simulation
On the accuracy of statistical procedures in Microsoft Excel 2003
Computational Statistics & Data Analysis
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We present a proof-of-concept prototype for high performance spreadsheet simulation called S3. Our goal is to provide a user-friendly, yet computationally powerful simulation environment for end users. Our approach is to add power of parallel computing on Windows-based desktop grid into popular Excel models. We show that, by using standard Web Services and Service-Oriented Architecture (SOA), one can build a fast and efficient system on a desktop grid for simulation. The complexity of parallelism can be hidden from users through a well-defined computation template. This work also demonstrates that a massive computing power can be harvested by linking off-the-shelf office PCs into a desktop grid for simulation. The experimental results show that the prototype system is highly scalable. In the best case, the execution time can be reduced 13.6 times using 16 desktop PCs; the simulation time is dramatically reduced from 200 minutes to 14 minutes.