Abstract
Mapping of parallel programs onto parallel computers for efficient execution is a fundamental problem of great significance in parallel processing. This paper describes a heuristic algorithm for mapping arbitrary parallel programs onto hypercube computers using a divide-and-conquer technique. The running time of our algorithm is O(dn3), where n is the number of tasks in the parallel program and d is the dimension of the hypercube computer. The algorithm is implemented in C + + and its performance is evaluated through extensive testing and analysis.
Original language | English |
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Pages (from-to) | 373-390 |
Number of pages | 18 |
Journal | Journal of Systems Architecture |
Volume | 43 |
Issue number | 6-7 |
DOIs | |
Publication status | Published - Apr 1997 |
Externally published | Yes |
Keywords
- Clustering
- Graph partitioning
- Heuristic algorithm
- Hypercube
- Mapping problem
- Task allocation/assignment