Multi-level Clustering on Metric Spaces Using a Multi-GPU Platform
| Authors | |
|---|---|
| Year of publication | 2013 |
| Type | Article in Proceedings |
| Conference | Euro-Par 2013 Parallel Processing - 19th International Conference |
| MU Faculty or unit | |
| Citation | |
| Web | http://link.springer.com/chapter/10.1007%2F978-3-642-40047-6_24 |
| Doi | http://dx.doi.org/10.1007/978-3-642-40047-6_24 |
| Field | Informatics |
| Keywords | Similarity Search; Metric Spaces; GPU; Range queries |
| Description | The field of similarity search on metric spaces has been widely studied in the last years, mainly because it has proven suitable for a number of application domains such as multimedia retrieval and computational biology, just to name a few. To achieve efficient query execution throughput, it is essential to exploit the intrinsic parallelism in respective search algorithms. Many strategies have been proposed in the literature to parallelize these algorithms either on shared or distributed memory multiprocessor systems. |
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