Objeto de conferencia
Comparative analysis of exhaustive searching on a massive finger-vein database over multi-node/multi-core and multi-GPU platforms
Registro en:
isbn:978-950-34-2126-0
Autor
Guidet, Sebastián
Hernández-García, Ruber
Frati, Fernando Emmanuel
Barrientos, Ricardo J.
Institución
Resumen
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. Instituto de Investigación en Informática