Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	2589A850BBF8E4295B64140F99C8C870
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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libspqr2
PackageRelease	lp151.4.1
PackageVersion	2.0.8
SHA-1	6B0273A1259D32B03E3151ED555C5835B82FA9F3
SHA-256	98FA1EF4CA9BC902ECE48C0D793DAB16D2ED367087ECD0AC0C448520C9749080

Key	Value
MD5	7E2438A40AC92170B75A207A5D354BE6
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.
PackageMaintainer	https://www.suse.com/
PackageName	libspqr-2_0_8
PackageRelease	2.42
PackageVersion	2.0.8
SHA-1	EC38CA8A6342342FE80BB2350E6C429D2DFC7F0F
SHA-256	18F78548C2D004036867F82514487F8EAFBA00567CDAB237F2023DA9364E07BF

Key	Value
MD5	B4B02BE97E59EC3BC4055A43C8F96DFF
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.
PackageMaintainer	https://www.suse.com/
PackageName	libspqr2
PackageRelease	150100.9.2.3
PackageVersion	2.0.8
SHA-1	0C348CFAA76AF060EC1FE0AF0A440C3DE4F96C6D
SHA-256	77223CD81E16F88A30A188FB40834364E21A5548CB741133CC13FB15F3C8C3F9

Key	Value
MD5	BD934B5F5BC607F0CD2DA0507B325821
PackageArch	s390x
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://www.suse.com/
PackageName	libspqr2
PackageRelease	150100.9.2.3
PackageVersion	2.0.8
SHA-1	153659AF84F50A697322DB99D5577E64F3B9C907
SHA-256	105BDA4AE537EBC7ABE541F27D8240E426A152D9740FF252E11A2DCA469F1984

Key	Value
MD5	2C0D2987223EE19D01F55140449EDC7C
PackageArch	s390x
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://www.suse.com/
PackageName	libspqr-2_0_8
PackageRelease	2.42
PackageVersion	2.0.8
SHA-1	4F0A41196C52734237DAB1C434A6E028325508F9
SHA-256	DA4B453EF4ADFCB22343F7E9B06304853A190C0E28B1F3B082AB596E2B3FDA8C

Key	Value
MD5	C97909D1D4AFCC592B11D3834CFD99F7
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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libspqr2
PackageRelease	lp152.5.10
PackageVersion	2.0.8
SHA-1	59290D9A44C8E389B2C8B15E107849204B96E2A5
SHA-256	629545085A8A8CD5B65CECAA7F4AB25F4A223A560CD3D96B475D7949F8F0BD1F

Key	Value
MD5	E1627F6F6432BAAEC167EA67A36565F1
PackageArch	s390x
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://www.suse.com/
PackageName	libspqr2
PackageRelease	7.9
PackageVersion	2.0.8
SHA-1	C6AB3E6379C537EEF92F7D929C1819F5B37F03BF
SHA-256	0F7DEC123861C6A561649E782EDCCF8FBA0660AFA183C357503F432103CCA41C

Key	Value
MD5	183C385BCE4ACF72540C044977F4A4C7
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.
PackageMaintainer	https://www.suse.com/
PackageName	libspqr2
PackageRelease	7.9
PackageVersion	2.0.8
SHA-1	8783B43F5DA0B86747A6D085C31B586D9AC29F76
SHA-256	27FE0105DCF39EAFA85AE2C4AF4A9BEE35DA5AAC6C9EAB56BD14450DEC639133

Key	Value
MD5	DE81FEB0FF8A011F00160279D556CD5E
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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libspqr-2_0_8
PackageRelease	lp150.2.12
PackageVersion	2.0.8
SHA-1	AA76C6A59C055914A67D18848045777EEE48B3A0
SHA-256	C9BD258A7D887B0CA4818B6ED13C17083E5C2DA8E96D7A4B9E2444A1DF2BBCF5