In Lagrange interpolation calculation, there are problems such as long calculation time and high memory consumption. Parallel computing can reduce the processing volume of a single machine and is an effective way to solve this problem. Based on the characteristics of network parallel systems, this paper proposes effective optimization steps and uses the MPI parallel function library to achieve high-efficiency Lagrange interpolation parallel computing. The calculation results prove the correctness of the scheme and obtain a high parallel efficiency, providing a feasible solution for solving some subsequent complex problems.
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