Many applications in computational science and engineering require the computation of eigenvalues and vectors of dense symmetric or Hermitian matrices. For example, in DFT （density functional theory） calculations on...Many applications in computational science and engineering require the computation of eigenvalues and vectors of dense symmetric or Hermitian matrices. For example, in DFT （density functional theory） calculations on modern supercomputers 10% to 30% of the eigenvalues and eigenvectors of huge dense matrices have to be calculated. Therefore, performance and parallel scaling of the used eigensolvers is of upmost interest. In this article different routines of the linear algebra packages ScaLAPACK and Elemental for parallel solution of the symmetric eigenvalue problem are compared concerning their performance on the BlueGene/P supercomputer. Parameters for performance optimization are adjusted for the different data distribution methods used in the two libraries. It is found that for all test cases the new library Elemental which uses a two-dimensional element by element distribution of the matrices to the processors shows better performance than the old ScaLAPACK library which uses a block-cyclic distribution.展开更多
10月23日，广东金海角—Grimaud Blue Genetics战略合作发布会在湛江隆重举行。广东海茂水产种业科技有限公司（以下称海茂）董事长陈国良表示，广东金海角水产种业科技有限公司（以下简称：金海角）正式引进以生长速度见长的南美白对...10月23日，广东金海角—Grimaud Blue Genetics战略合作发布会在湛江隆重举行。广东海茂水产种业科技有限公司（以下称海茂）董事长陈国良表示，广东金海角水产种业科技有限公司（以下简称：金海角）正式引进以生长速度见长的南美白对虾新品种——蓝色基因亲虾，预计11月10日将可以向市场推出1．0至1．2公分规格大苗。展开更多
文摘Many applications in computational science and engineering require the computation of eigenvalues and vectors of dense symmetric or Hermitian matrices. For example, in DFT （density functional theory） calculations on modern supercomputers 10% to 30% of the eigenvalues and eigenvectors of huge dense matrices have to be calculated. Therefore, performance and parallel scaling of the used eigensolvers is of upmost interest. In this article different routines of the linear algebra packages ScaLAPACK and Elemental for parallel solution of the symmetric eigenvalue problem are compared concerning their performance on the BlueGene/P supercomputer. Parameters for performance optimization are adjusted for the different data distribution methods used in the two libraries. It is found that for all test cases the new library Elemental which uses a two-dimensional element by element distribution of the matrices to the processors shows better performance than the old ScaLAPACK library which uses a block-cyclic distribution.
文摘10月23日，广东金海角—Grimaud Blue Genetics战略合作发布会在湛江隆重举行。广东海茂水产种业科技有限公司（以下称海茂）董事长陈国良表示，广东金海角水产种业科技有限公司（以下简称：金海角）正式引进以生长速度见长的南美白对虾新品种——蓝色基因亲虾，预计11月10日将可以向市场推出1．0至1．2公分规格大苗。
