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As one of open-source codes widely used in computational ocean acoustics,FOR3D can provide a very good estimate for underwater acoustic propagation. Inthis paper, we propose a performance optimization and parallelization to speedup the running of FOR3D. We utilized a variety of methods to enhance the entireperformance, such as using a multi-threaded programming model to exploit thepotential capability of the many-core node of high-performance computing (HPC)system, tuning compile options, using efficient tuned mathematical library andutilizing vectorization optimization instruction. In addition, we extended theapplication from single-frequency calculation to multi-frequency calculationsuccessfully by using OpenMP+MPI hybrid programming techniques on themainstream HPC platform. A detailed performance evaluation was performed andthe results showed that the proposed parallelization obtained good acceleratedeffect of 25.77X when testing a typical three-dimensional medium-sized case onTianhe-2 supercomputer. It also showed that the tuned parallel version has aweak-scalability. The speed of calculation of underwater sound field can begreatly improved by the strategy mentioned in this paper. The method used inthis paper is not only applicable to other similar computing models incomputational ocean acoustics but also a guideline of performance enhancementfor scientific and engineering application running on modernmany-core-computing platform.

Performance Optimization and Parallelization of a Parabolic Equation Solver in Computational Ocean Acoustics on Modern Many-core Computer