Πλοήγηση ανά Συγγραφέα "Velentzas P., Vassilakopoulos M., Corral A."
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GPU-aided edge computing for processing the k nearest-neighbor query on SSD-resident data
Velentzas P., Vassilakopoulos M., Corral A. (2021)Edge computing aims at improving performance by storing and processing data closer to their source. The k Nearest-Neighbor (k-NN) query is a common spatial query in several applications. For example, this query can be used ... -
GPU-Based Algorithms for Processing the k Nearest-Neighbor Query on Disk-Resident Data
Velentzas P., Vassilakopoulos M., Corral A. (2021)Algorithms for answering the k Nearest-Neighbor (k-NN) query are widely used for queries in spatial databases and for distance classification of a group of query points against a reference dataset to derive the dominating ... -
In-memory k nearest neighbor GPU-based query processing
Velentzas P., Vassilakopoulos M., Corral A. (2020)The k Nearest Neighbor (k-NN) algorithm is widely used for classification in several application domains (medicine, economy, entertainment, etc.). Let a group of query points, for each of which we need to compute the k-NNs ... -
A Partitioning GPU-based Algorithm for Processing the k Nearest-Neighbor Query
Velentzas P., Vassilakopoulos M., Corral A. (2020)The k Nearest-Neighbor (k-NN) query is a common spatial query that appears in several big data applications. Typically, GPU devices have much larger numbers of processing cores than CPUs and faster device memory than main ...