Proceedings of 2014 International Conference on Cloud Computing and Internet of Things 2014
DOI: 10.1109/cciot.2014.7062511
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Performance analysis of parallel smoothed particle hydrodynamics on multi-core CPUs

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Cited by 1 publication
(2 citation statements)
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“…The high computational cost of particle methods can be countered using the programming techniques discussed above. Thus, different implementations of the SPH method using OpenMP can be found [97,101,102], although the same algorithms can be applied to other particle methods. The work of [101] included a performance analysis of SPH in multi-core CPUs and studied how to avoid bottlenecks.…”
Section: High Performance Computing Solutions For Complex Hydraulic Ementioning
confidence: 99%
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“…The high computational cost of particle methods can be countered using the programming techniques discussed above. Thus, different implementations of the SPH method using OpenMP can be found [97,101,102], although the same algorithms can be applied to other particle methods. The work of [101] included a performance analysis of SPH in multi-core CPUs and studied how to avoid bottlenecks.…”
Section: High Performance Computing Solutions For Complex Hydraulic Ementioning
confidence: 99%
“…Thus, different implementations of the SPH method using OpenMP can be found [97,101,102], although the same algorithms can be applied to other particle methods. The work of [101] included a performance analysis of SPH in multi-core CPUs and studied how to avoid bottlenecks. The work in [102] implemented an optimized SPH for parallel machines with shared memory and compared the effective computing performance on multi-core CPUs and Xeon Phi MIC (many integrated core) coprocessors with 61 cores.…”
Section: High Performance Computing Solutions For Complex Hydraulic Ementioning
confidence: 99%