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- W214721926 abstract "A cooperative framework is presented in this paper where multiple Cores in host and multiple GPUs cooperate to compute the Voronoi adjacency relationship in multidimensional Machine Learning datasets. Voronoi adjacency plays a very important role in neighbor based procedures in classification and data condensation. The proposal includes a system of Polytope Inclusion Agents, which computes the Delaunay polytope that contains a defined point, and a Coordination System among the agents that deals with the scheduling and load balance. The Polytope Inclusion Agent uses the Dual Simplex algorithm to solve a Linear Programming problem. The results show that for small datasets the use of GPU is a drawback, while for larger ones the GPUs take advantages of their massive" @default.
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- W214721926 date "2010-01-01" @default.
- W214721926 modified "2023-09-26" @default.
- W214721926 title "Cooperating Multi-Core and Multi-GPU in the Computation of the Multidimensional Voronoi Adjacency in Machine Learning Datasets." @default.
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