2 京都大学学術情報メディアセンター(〒606-8501 京都府京都市左京区吉田本町) Recently, in the computational simulation of science and engineering, the size of a matrix to be solved is getting larger. Thus the high performance matrix solver for the larger matrix is desired. Although various new methods are proposed and commercial codes are developed, the speed-up of the solver by the single process is limited due to the clock speed saturation. Therefore, the parallel computation is inevitable. In such a background, in this

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... , we made a parallel implementation to the Residual Cutting Method based matrix solver developed by the authors group by using Algebraic Multi Grid as an inner solver. From the results of performance evaluation, we found that the developed matrix solver has good parallel performance.