Abstract
This paper describes the implementation and performance of a parallel platform for solving partial differential equations (PDEs) on distributed systems. The platform has been implemented using PVM for a network of workstations. It allows the inclusion of a wide range of parameters and programming aids. The PDEs are specified in the form of finite difference equations. With a given set of parameters and a partitioning strategy, the platform provides facilities to record and predict the performance of an application before running it. The performance prediction model helps the user to identify the major bottlenecks of the platform such that by reducing them, the speedup can be improved. We also present analysis of various factors that can have drastic effect on the speedup, which allows the user to tune a number of parameters to maximize the performance.
| Original language | English |
|---|---|
| Pages (from-to) | 383-388 |
| Number of pages | 6 |
| Journal | Proceedings - IEEE Computer Society's International Computer Software and Applications Conference |
| Volume | COMPSAC 95. Proceedings., Nineteenth Annual International Computer Software and Applications Conference |
| Publication status | Published - 1 Jan 1995 |
| Externally published | Yes |
| Event | Proceedings of the 19th Annual International Computer Software and Applications Conference COMPSAC '95 - Dallas, TX, USA Duration: 9 Aug 1995 → 11 Aug 1995 |