Abstract
Similarity search in a large collection of stored objects in a metric database has become a most interesting problem. The Spaghettis is an efficient metric data structure to index metric spaces. However, for real applications processing large volumes of generated data, query response times can be high enough. In these cases, it is necessary to apply mechanisms in order to significantly reduce the average query time. In this sense, the parallelization of metric structures is an interesting field of research. The recent appearance of GPUs for general purpose computing platforms offers powerful parallel processing capabilities. In this paper we propose a GPU-based implementation for Spaghettis metric structure. Firstly, we have adapted Spaghettis structure to GPU-based platform. Afterwards, we have compared both sequential and GPU-based implementation to analyse the performance, showing significant improvements in terms of time reduction, obtaining values of speed-up close to 10.
Original language | English |
---|---|
Title of host publication | Computational Science and Its Applications, ICCSA 2011 - International Conference, Proceedings |
Pages | 615-629 |
Number of pages | 15 |
Edition | PART 1 |
DOIs | |
State | Published - 2011 |
Externally published | Yes |
Event | 2011 International Conference on Computational Science and Its Applications, ICCSA 2011 - Santander, Spain Duration: Jun 20 2011 → Jun 23 2011 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Number | PART 1 |
Volume | 6782 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 2011 International Conference on Computational Science and Its Applications, ICCSA 2011 |
---|---|
Country/Territory | Spain |
City | Santander |
Period | 06/20/11 → 06/23/11 |
Funding
This work has been partially funded by research programs PR-F1-02IC-08, University of Magallanes, Chile and 29/C035-1, Academic Unit of Río Turbio, National University of Patagonia Austral, Argentina, and the Spanish project SAT-SIM (ref: CGL2010-20787-C02-02).
Keywords
- CUDA
- Databases
- GPU
- algorithms
- data structures
- metric spaces
- parallel processing
- similarity search