RT Conference Proceedings
T1 Three is not a crowd: ACPU-GPU-FPGA K-means implementation
A1 Canales, Marcos
A1 Cáncer, Jorge
A1 Constantinescu, Denisa-Andreea
A1 Escuin, Carlos
A1 Perez, Borja
K1 Algoritmos computacionales
AB Clustering is the task of assigning a set of objects into groups (clusters) so that objects in the same group are more similar to each other than to those in other groups. In particular, K-means is a clustering algorithm that calculates the cluster with the nearest mean for each object. To achieve this, it uses a function like Euclidean or Manhattan distance. Our objective is to exploit our heterogeneous computing environment, that integrates an Intel Core i7-6700K chip, 2x NVIDIA TITAN X and an Intel Altera Terasic Stratix V DE5-NET FPGA, to run K-means as fast as possible.
YR 2017
FD 2017-06-15
LK http://hdl.handle.net/10630/13891
UL http://hdl.handle.net/10630/13891
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 24 ene 2026