Abstract
The criteria for evaluating the robustness of parallel numerical integration algorithms are discussed and several integration algorithms are examined. The results show that the central difference method has high computational efficiency and parallel effectiveness in the case of a diagonal mass and damping matrix and is recommended in such a case. A comparison is also made between the Cholesky decomposition method and a mixed Jacobi/Gauss-Seidel method when they are incorporated in the central difference method for the case of a nondiagonal mass matrix. The results indicate that iterative methods are attractive in parallel computation.
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