Abstract
This paper presents an improved algorithm for universal k-selection in hypercubes. The algorithm has a worst-case time complexity of O(n/p log p log (kp)/n) for selecting k smallest numbers from n given numbers in a hypercube of p processors (p≤n). This result shows a maximum speedup of O(log k) over the known result for the same problem in the case kp = O(n).
Original language | English |
---|---|
Pages (from-to) | 177-184 |
Number of pages | 8 |
Journal | Parallel Computing |
Volume | 18 |
Issue number | 2 |
DOIs | |
Publication status | Published - Feb 1992 |
Externally published | Yes |
Keywords
- Parallel algorithm
- hypercube
- processors
- time complexity
- universal k-selection