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The Gauss-Seidel method is a standard iterative numerical method widely used to solve a system of equations and, in general, is more efficient comparing to other iterative methods, such as the Jacobi method. However, standard implementation of the Gauss-Seidel method restricts its utilization in parallel computing due to its requirement of using updated neighboring values (i.e., in current iteration) as soon as they are available. Here we report an efficient and exact (not requiringdoi:10.1002/jcc.23033 pmid:22674480 pmcid:PMC3412928 fatcat:5anjdt4exncptnwis6x7ludnfi