kNN query processing in metric spaces using GPUs
Abstract Information retrieval from large databases is becoming crucial for many applications
in different fields such as content searching in multimedia objects, text retrieval or …
in different fields such as content searching in multimedia objects, text retrieval or …
Range query processing in a multi-GPU environment
Similarity search has been widely studied in the last years, as it can be applied to several
fields such as searching by content in multimedia objects, text retrieval or computational …
fields such as searching by content in multimedia objects, text retrieval or computational …
Load balancing query processing in metric-space similarity search
V Gil-Costa, M Marin - … Symposium on Cluster, Cloud and Grid …, 2012 - ieeexplore.ieee.org
Metric-space similarity search has been proven suitable for searching large collections of
complex objects such as images. A number of distributed index data structures and …
complex objects such as images. A number of distributed index data structures and …
Range query processing on single and multi GPU environments
Metric-space similarity search has proven suitable in a number of application domains such
as multimedia retrieval and computational biology to name a few. These applications usually …
as multimedia retrieval and computational biology to name a few. These applications usually …
Multi-level clustering on metric spaces using a multi-gpu platform
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 …
mainly because it has proven suitable for a number of application domains such as …
Approximate distributed metric-space search
V Gil-Costa, M Marin - Proceedings of the 9th workshop on Large-scale …, 2011 - dl.acm.org
This paper proposes an approximate search algorithm for metric space search which is
suitable for distributed search engines. The desired level of approximation is a parameter …
suitable for distributed search engines. The desired level of approximation is a parameter …
A graph-based cache for large-scale similarity search engines
Large-scale similarity search engines are complex systems devised to process unstructured
data like images and videos. These systems are deployed on clusters of distributed …
data like images and videos. These systems are deployed on clusters of distributed …
Data partitioning evaluation for multimedia systems in hybrid environments
V Mancini, F Bustos, V Gil-Costa… - … Conference on P2P …, 2012 - ieeexplore.ieee.org
Every day, new technologies are developed to combine the facilities arranged for shared
memory systems with the facilities that provide distributed memory systems. This paper …
memory systems with the facilities that provide distributed memory systems. This paper …
Regrouping metric-space search index for search engine size adaptation
K Al Ruqeishi, M Konečný - International Conference on Similarity Search …, 2015 - Springer
This work contributes to the development of search engines that self-adapt their size in
response to fluctuations in workload. Deploying a search engine in an Infrastructure as a …
response to fluctuations in workload. Deploying a search engine in an Infrastructure as a …
Hybrid architecture for metric space searches
FH Bustos, M Alaniz, GV Gil Costa… - … Congreso Argentino de …, 2011 - sedici.unlp.edu.ar
Every day, new technologies are developed to combine the facilities arranged for shared
memory systems with the facilities that provide distributed memory systems. This paper …
memory systems with the facilities that provide distributed memory systems. This paper …