Resumen de On optimization techniques for the matrix multiplication on hybrid CPU+GPU platforms
Luis Pedro García, Javier Cuenca, Domingo Giménez Cánovas 
The use of auto-tuning techniques in a matrix multiplication routine for hybrid CPU+GPU platforms is analyzed. Basic models of the execution time of the hybrid routine and information obtained during its installation are used to optimize the execution time with a balanced assignation of the computation to the computing components in the heterogeneous system. Satisfactory results are obtained, with experimental execution times close to the lowest achievable
