Track 1 - Parallel Algorithms - An Implementation of Parallel Eigenvalue Computation Using Dual-Level Hybrid Parallelism
文件大小: 521k
源码售价: 10 个金币 积分规则     积分充值
资源说明:This paper describes a hybrid two-level parallel method with MPI/OpenMP for computing the eigenvalues of dense symmetric matrices on cluster of SMP's environments. The eigenvalue computation is Based on both the Householder tridiagonalization method and a divideand-conquer algorithm of tridiagonal eigenproblem. In hybrid parallel design, We take a coarse-grain approach to OpenMP shared-memory parallelization, which keeps BLAS-3 operations in tridiagonalization. Moreover, dynamic work sharing is
本源码包内暂不包含可直接显示的源代码文件,请下载源码包。