Name
Abstract | ||
|---|---|---|
This report presents an adaptive work-efficient approach for implementing the Connected Components algorithm on GPUs. The results show a considerable increase in performance (up to 6.8$times$) over current state-of-the-art solutions. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Distributed, Parallel, and Cluster Computing | Overcurrent,Computer science,Parallel computing,Connected component |
DocType | Volume | Citations |
Journal | abs/1612.01178 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Sutton | 1 | 24 | 1.69 |
| Tal Ben-Nun | 2 | 116 | 14.21 |
| Amnon Barak | 3 | 590 | 119.00 |
| Sreepathi Pai | 4 | 177 | 9.58 |
| Keshav Pingali | 5 | 3056 | 256.64 |