Title | ||
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An adaptive algorithm for high-dimensional integrals on heterogeneous CPU-GPU systems. |
Abstract | ||
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In this paper, we introduce an adaptive procedure for the numerical computation of a high-dimensional integrals on HPC systems with heterogeneous nodes composed of multi-core CPU and GPU devices. To this aim, we have integrated together two different approaches: a first one is in charge of a fair workload among the threads running on the multi-core CPU, while a second one is in charge of an efficient execution of the computational kernels on the GPU. We tested the resulting algorithm on several test functions on a system where the nodes are provided with two Intel ten-core CPU and one NVIDIA GPU device. |
Year | DOI | Venue |
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2019 | 10.1002/cpe.4945 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE |
Keywords | DocType | Volume |
adaptive algorithms,heterogeneous computing,high-dimensional integrals,multi-core CPU and GPU computing | Journal | 31.0 |
Issue | ISSN | Citations |
SP19.0 | 1532-0626 | 2 |
PageRank | References | Authors |
0.39 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Giuliano Laccetti | 1 | 124 | 17.54 |
Marco Lapegna | 2 | 93 | 15.07 |
Valeria Mele | 3 | 38 | 7.42 |
Raffaele Montella | 4 | 210 | 23.13 |