Using the blockwise matrix inversion, inversions of large matrices with different ways of memory handling are presented in this article. Algorithm for performing inversion of matrix which is partitioned into large number of blocks is presented in which inversions and multiplications involving the blocks can be carried out with parallel processing. Optimized memory handling and efficient methods for intermediate multiplications among the partitioned blocks are implemented in this algorithm.

翻译：本文利用分块矩阵求逆方法，介绍了针对大型矩阵采用不同内存处理方式的求逆过程。提出了一种将矩阵划分为大量分块后进行求逆的算法，其中涉及分块的求逆与乘法运算可通过并行处理实现。该算法实现了优化的内存管理及分块间中间乘法的高效处理方法。