List ranking on processor arrays
List ranking finds for each cell in a linked list the number of cells that precede it in the list. This paper presents a work-efficient list-ranking algorithm for fine-grained processor arrays. This algorithm runs on an array of n/log 2 n processors with the expected run-time of O(log 2 n). As list...
Saved in:
| Published in | The Journal of systems and software Vol. 55; no. 2; pp. 185 - 192 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
New York
Elsevier Inc
29.12.2000
Elsevier Sequoia S.A |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0164-1212 1873-1228 |
| DOI | 10.1016/S0164-1212(00)00069-8 |
Cover
| Summary: | List ranking finds for each cell in a linked list the number of cells that precede it in the list. This paper presents a work-efficient list-ranking algorithm for fine-grained processor arrays. This algorithm runs on an array of
n/log
2
n processors with the expected run-time of O(log
2
n). As list ranking is highly communication intensive, the proposed algorithm is able to reduce communication cost among processors by assigning sublists, instead of arbitrary cells, of a linked list to each processor. The proposed algorithm is also capable of keeping all processors busy during the whole list-ranking process in order to utilize all processors efficiently. |
|---|---|
| Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 |
| ISSN: | 0164-1212 1873-1228 |
| DOI: | 10.1016/S0164-1212(00)00069-8 |