Abstract
Parallel execution of application programs on a multiprocessor system may lead to performance degradation if the workload of a parallel region is not large enough to amortize the overheads associated with the parallel execution. Furthermore, if too many processes are running on the system in a multiprogrammed environment, the performance of the parallel application may degrade due to resource contention. We propose a comprehensive dynamic processor allocation scheme that takes both program behavior and system load into consideration when dynamically allocating processors. We implemented this mechanism in the Java run-time system on Solaris to dynamically control the execution of parallel Java application programs. Performance results show the effectiveness of this scheme in dynamically adapting to the current execution environment and that it outperforms a conventional time-shared system.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2000 International Conference on Parallel Processing, ICPP 2000 |
| Editors | David J. Lilja |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 153-161 |
| Number of pages | 9 |
| ISBN (Electronic) | 0769507689 |
| DOIs | |
| State | Published - 2000 |
| Event | International Conference on Parallel Processing, ICPP 2000 - Toronto, Canada Duration: Aug 21 2000 → Aug 24 2000 |
Publication series
| Name | Proceedings of the International Conference on Parallel Processing |
|---|---|
| Volume | 2000-January |
| ISSN (Print) | 0190-3918 |
Other
| Other | International Conference on Parallel Processing, ICPP 2000 |
|---|---|
| Country/Territory | Canada |
| City | Toronto |
| Period | 8/21/00 → 8/24/00 |
Bibliographical note
Publisher Copyright:© 2000 IEEE.
Keywords
- Application software
- Concurrent computing
- Control systems
- Degradation
- Delay
- Java
- Multiprocessing systems
- Parallel processing
- Performance gain
- Programmable control