Abstract
In this work, a parallel adaptive algorithm for the computation of a multidimensional integral on heterogeneous GPU and multicore based systems is described. Two different strategies have been combined together in the algorithm: a first procedure is responsible for the load balancing among the threads on the multicore CPU and a second one is responsible for an efficient execution on the GPU of the computational kernel. The performance is analyzed and experimental results on a system with a quad-core CPUs and two GPUs have been achieved. © 2014 Springer-Verlag.
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Laccetti, G., Lapegna, M., Mele, V., & Romano, D. (2014). A study on adaptive algorithms for numerical quadrature on heterogeneous GPU and multicore based systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8384 LNCS, pp. 704–713). Springer Verlag. https://doi.org/10.1007/978-3-642-55224-3_66
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