| dc.creator | Guidet, Sebastián | |
| dc.creator | Hernández-García, Ruber | |
| dc.creator | Frati, Fernando Emmanuel | |
| dc.creator | Barrientos, Ricardo J. | |
| dc.date | 2022-07 | |
| dc.date | 2022 | |
| dc.date | 2022-08-17T19:03:07Z | |
| dc.date.accessioned | 2023-07-15T07:40:18Z | |
| dc.date.available | 2023-07-15T07:40:18Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/140636 | |
| dc.identifier | isbn:978-950-34-2126-0 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7481386 | |
| dc.description | When searching on unstructured data (video, images, etc.), response times are a critical factor. In this work we propose an implementation on two types of multi-GPU and multi-node/multi-core platforms, for massive searches. The presented method aims to reduce the time involved in the search process by solving simultaneous queries over the system and a database of millions of elements. The results show that the multi-GPU approach is 1.6 times superior to the multi-node/multi-core algorithm. Moreover, in both algorithms the speedup is directly proportional to the number of nodes reaching 156x for 4 GPUs, and 87x in the case of the hybrid multi-node/multi-core algorithm. | |
| dc.description | Instituto de Investigación en Informática | |
| dc.format | application/pdf | |
| dc.format | 12-16 | |
| dc.language | en | |
| dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
| dc.subject | Ciencias Informáticas | |
| dc.subject | High Performance Computing | |
| dc.subject | identification of individuals | |
| dc.subject | Local linear binary pattern | |
| dc.subject | Finger veins | |
| dc.subject | GPU | |
| dc.title | Comparative analysis of exhaustive searching on a massive finger-vein database over
multi-node/multi-core and multi-GPU platforms | |
| dc.type | Objeto de conferencia | |
| dc.type | Objeto de conferencia | |
