Result for 284F555C40F80879AB4569B517AC2892ACEA779B

Query result

Key Value
FileName./usr/lib/x86_64-linux-gnu/superlu-dist/tests/EXAMPLE/CTestTestfile.cmake
FileSize2794
MD511C7893303BC3423817BCA5A3363A697
SHA-1284F555C40F80879AB4569B517AC2892ACEA779B
SHA-2566BF4FD8831242169385CCE9069CDA72A03F93707B94F3F9D3CDBCEFD4506AB24
SSDEEP48:PXm2Bx6swNeWwMDshNnWwXAs2NYWw9T0sExNP3WwuZsEANPuWwnTusETNPFWw8:PXDT51M4rXzh9TXSua6nTdS8
TLSHT1F1513F6DE34B7811D6A169D755A36A37EBF477B24EF3AC14AFA584E9606FBCE0003100
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize251320
MD56B60B176FC925B78FCD4B873D52160A3
PackageDescriptionHighly distributed solution of sparse linear equations SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations. The library is written in C and is callable from either C or Fortran program. It uses MPI, OpenMP and CUDA to support various forms of parallelism. It supports both real and complex datatypes, both single and double precision, and 64-bit integer indexing. The library routines performs an LU decomposition with partial pivoting and triangular system solves through forward and back substitution. The LU factorization routines can handle non-square matrices but the triangular solves are performed only for square matrices. The matrix columns may be preordered (before factorization) either through library or user supplied routines. This preordering for sparsity is completely separate from the factorization. Working precision iterative refinement subroutines are provided for improved backward stability. Routines are also provided to equilibrate the system, estimate the condition number, calculate the relative backward error, and estimate error bounds for the refined solutions. . SuperLU_DIST implements the algorithms for distributed memory, targetting highly parallel distributed memory hybrid systems. The numerical factorization routines are already implemented for hybrid systems with multiple GPUs. Further work will be needed to implement the other phases of the algorithms on the hybrid systems and to enhance strong scaling to extreme scale. . This package provides development files for building client applications against superlu-dist.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibsuperlu-dist-dev
PackageSectionlibdevel
PackageVersion6.2.0+dfsg1-3
SHA-19E7CC721CDB6FDE5F8C297C95F2BC5321EB5ABE7
SHA-256EDEA7A6D198C3CFEE1006A8FC0C3C7BE381BC0B100E454680EFCB01426B328E7
Key Value
FileSize249968
MD5FDFF68EC9B49DC02591709245CD81600
PackageDescriptionHighly distributed solution of sparse linear equations SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations. The library is written in C and is callable from either C or Fortran program. It uses MPI, OpenMP and CUDA to support various forms of parallelism. It supports both real and complex datatypes, both single and double precision, and 64-bit integer indexing. The library routines performs an LU decomposition with partial pivoting and triangular system solves through forward and back substitution. The LU factorization routines can handle non-square matrices but the triangular solves are performed only for square matrices. The matrix columns may be preordered (before factorization) either through library or user supplied routines. This preordering for sparsity is completely separate from the factorization. Working precision iterative refinement subroutines are provided for improved backward stability. Routines are also provided to equilibrate the system, estimate the condition number, calculate the relative backward error, and estimate error bounds for the refined solutions. . SuperLU_DIST implements the algorithms for distributed memory, targetting highly parallel distributed memory hybrid systems. The numerical factorization routines are already implemented for hybrid systems with multiple GPUs. Further work will be needed to implement the other phases of the algorithms on the hybrid systems and to enhance strong scaling to extreme scale. . This package provides development files for building client applications against superlu-dist.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibsuperlu-dist-dev
PackageSectionlibdevel
PackageVersion6.2.0+dfsg1-3build1
SHA-16479DD656738C66882E7DAF788276CA6EBBB1485
SHA-256A5AEB77DB755BC59215D059D8681288F56A8FC7B2813ADDAD0046B46A32E2635