Parents (Total: 22)

The searched file hash is included in 22 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	79785F9563900A70796130E87B1F84A8
PackageArch	x86_64
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	85.3
PackageVersion	2.0.9
SHA-1	2038ECBFFF8C54F6D55064B90DD6405BF8EF4422
SHA-256	8E97296001CA9FBA9A167D87B13757A38F9FAC61E0D971629553C04A3D5B989C

Key	Value
MD5	566D7ABCD89B1FE1CD51C1646E46D608
PackageArch	i586
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	85.70
PackageVersion	2.0.9
SHA-1	2401E7801A82FE5E2BB160A40513E48E4A068653
SHA-256	2564A2BF9BA17CE714C931A89630CA9F1F9D2E3453D7863D42A7138D3B0B8DF8

Key	Value
MD5	B2F6E3088F153FA4030C34B48F677B05
PackageArch	x86_64
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	85.1
PackageVersion	2.0.9
SHA-1	25E97EB181AA8B4100738CA2D60B16CEE00076A6
SHA-256	0E76DEEF9B1BC4E8D4EE1C8C54BB872AC476168B548C3A109ECB1897F4AD4568

Key	Value
MD5	1EDEF97D71B089511624EB598457F936
PackageArch	i586
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libspqr2
PackageRelease	43.6
PackageVersion	2.0.9
SHA-1	2E27565F75816EA46411A2ED143250669CF56CB3
SHA-256	9A12046027F86498D11D770497C64A375ACB61253DE77522FD4E9B1232FE9001

Key	Value
MD5	FADE972302AB2C87FE3BDEB5F1D2170C
PackageArch	x86_64
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	lp150.59.1
PackageVersion	2.0.9
SHA-1	336794CB22E9384FAD1CFEC72C4D09578AD74672
SHA-256	03414FE8FD5AE5EA881A691BA9B4E8B257278674B8840F8BE6D9DD296456B550

Key	Value
MD5	D401C55A59E3DC3ED9E7E874629F9147
PackageArch	x86_64
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	84.1
PackageVersion	2.0.9
SHA-1	3DBC5AC737501C0223FAEFCF877DCF1F11397A21
SHA-256	6040B76A294CD02918942A107299AE3DAD5A4831BACB6CBFDBF2709FF4D0305E

Key	Value
MD5	CD8950BE2CDCC4306B64E77B59FD0273
PackageArch	x86_64
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	bp153.44.4
PackageVersion	2.0.9
SHA-1	3F2146D1EC7888BE03EA70998439224E0EDAF486
SHA-256	C5ED2287F1B2CDC32514F726F036EBB77CDB9E340AC3134E8DF1D1B4C4A38461

Key	Value
MD5	266E470FEA5DD970C142EB4D2925D478
PackageArch	x86_64
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	lp153.85.1
PackageVersion	2.0.9
SHA-1	4244E51393E06C668B2F1D01BDD2D4F663B6E10C
SHA-256	3344407684789F83AACB5D25CBDCB19886FB8B4F8B2DD35085C26B0CC79204A7

Key	Value
MD5	D633447A4807AD3490E526575228DDDE
PackageArch	x86_64
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	lp151.84.1
PackageVersion	2.0.9
SHA-1	516421488E4F2802B4445411C3D224236F7C009D
SHA-256	88A342C5BC821929BFFF31E6E1FBCC46A29F2975DBF9B0C596CC59041C9975B8

Key	Value
MD5	EA7EDE92F2B78EFEF4A13037B38DA5F5
PackageArch	x86_64
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	85.70
PackageVersion	2.0.9
SHA-1	535B31A01EDC97DC18547101E05B0C242E0D38E9
SHA-256	73B72500F09F8738A45192F9894127A25FE46FA50CF328B2691BA4B320A9D675