【Abstract】 A parallel block elimination algorithm for solving Hermitian matrir large eigen-value problems was provided in this paper. The algorithm prossess crude grain parallel properties. The high-quality black-bos for solving matrix eigenvalue problems, multi-processors and it’s local memory can be use effectively in this algorithm. It can be inplemented on high-performance distributed memory parallel computer.The convergencet error analysis of the algorithm, and parallel design are presented.A part of the numerical results are listed in this paper.更多还原