Abstract
State of the art in numerical wave tank (NWT) development demands that emerging algorithms be capable of utilizing most of the computing power available from today’s multi-core CPU architectures. Based on this motivation, we attempt MPI-based parallelization of our (in-house) Navier–Stokes equation (NSE)-based NWT algorithm. Parallelization strategy adopted in this paper involves domain decomposition along the direction of wave propagation. The parallelized NWT code is tested on single, multi-core, shared-memory nodes for both regular wave generation and wave-rigid structure interaction (WSI) scenarios. It is demonstrated that the resultant wave topology is independent of number of threads considered in the parallel computation \((N_p)\). It is further observed that proposed parallelization strategy results in appreciable reduction in computation time \((\mathcal {CT})\). However, maximum speedup \((\psi _{max})\) is observed to be limited by the number of physical cores \((\mathfrak {N})\) available on the computing node. Nonetheless, the results demonstrate that, for the same grid size, proposed NWT code is significantly faster than ANSYS® FLUENT for WSI simulations.
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Notes
- 1.
quite interestingly, performance degradation was observed for benchmarking tests involving FFT-based solution of PDEs [16].
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Saincher, S., Dave, S., Anghan, C., Banerjee, J. (2019). A Parallelized Inflow-Boundary-Based Numerical Tank: Performance on Individual SMA Nodes. In: Murali, K., Sriram, V., Samad, A., Saha, N. (eds) Proceedings of the Fourth International Conference in Ocean Engineering (ICOE2018). Lecture Notes in Civil Engineering, vol 22. Springer, Singapore. https://doi.org/10.1007/978-981-13-3119-0_43
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