Optimization of Finite-Differencing Kernels for Numerical Relativity Applications
A simple optimization strategy for the computation of 3D finite-differencing kernels on many-cores architectures is proposed. The 3D finite-differencing computation is split direction-by-direction and exploits two level of parallelism: in-core vectorization and multi-threads shared-memory paralleliz...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-05-01
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| Series: | Journal of Low Power Electronics and Applications |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2079-9268/8/2/15 |