Parents (Total: 44)

The searched file hash is included in 44 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileName	http://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armv7//suitesparse-doc-5.10.1-r1.apk
MD5	FFFE426AB66B96708625E43FBF1FAF6B
SHA-1	13000B39F5D66773AA4C8946A17C962DC0F6CCB4
SHA-256	1F9D8C45D490F5E61190C78A60592B80160E39AADAA90B986D5EC481083B35DA
SSDEEP	49152:CpcNn6detK4Y2HaIgnZsyOYZjfXJ0fJVI8ic56zeCQvdqWGoeCG3XCnebgD:GcNSeYP2x+pZrXci8iondLGpSneby
TLSH	T150B53321A5C98A244C09BAF7DA13BF8E9438BE57100BAF76FB2D85D4C35F1B16421E47

Key	Value
MD5	99336F50913B627DB503D5AD95ECE847
PackageArch	i586
PackageDescription	suitesparse is a collection of libraries for computations involving sparse matrices. The suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageName	suitesparse-devel
PackageRelease	45.3
PackageVersion	5.10.1
SHA-1	16F1FC834FBD37AA78AEF3C22FA40BD85719A89D
SHA-256	73A24FDFF8845141213F516CE6EBEF01FFEA127471FFE8985553E1A2B89ECABF

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	C10750D178068E2A59E526D304E963F8
PackageArch	x86_64
PackageDescription	suitesparse is a collection of libraries for computations involving sparse matrices. The suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageName	suitesparse-devel
PackageRelease	85.70
PackageVersion	5.10.1
SHA-1	2391DBF2D4A849E2C00A8E4111477510748C3EC3
SHA-256	AA9DB1CE2025D4813F147D5EE18874A988C240181AA3AD3C0A34A9255F9946C7

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	E98CA68A89CAFF6204DC29430E3FDB90
PackageArch	x86_64
PackageDescription	suitesparse is a collection of libraries for computations involving sparse matrices. The suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageName	suitesparse-devel
PackageRelease	45.3
PackageVersion	5.10.1
SHA-1	2BB9CEA0209989AA114D5B5F9FEA82FA9567809E
SHA-256	81AAABA3A6FFB718900000FA9BC333EA9598EB58CD52916EBEBD6D69202D3853

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	E4D3005D1079F19F6C17835CECC13941
PackageArch	i586
PackageDescription	suitesparse is a collection of libraries for computations involving sparse matrices. The suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageMaintainer	https://bugs.opensuse.org
PackageName	suitesparse-devel
PackageRelease	43.6
PackageVersion	5.10.1
SHA-1	30D26A05B742F0CE7179EA9792AA67ED4D860E38
SHA-256	7550F73ABA5B1C3A6A2062AB61C650831C7797BD860252506EF0E194C4D002FA

Key	Value
FileName	http://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armv7//suitesparse-doc-5.10.1-r0.apk
MD5	8454E60DBBA035541E3D3FF2DE38E469
SHA-1	35BFBD94D8BAE93D2466212FE2057425016AF3B0
SHA-256	B13ECA00B79EADCFE903B3966D96B9D01E9732BD7E1CD1FB56D50BFE3D7F6F93
SSDEEP	49152:BTpcMPD/etK4Y2HaIgnZs8yFdlXJ0BVI8ic56yQvdqWGoeCUuWum7ebgE:/lreYP2x+fy9Xei8iomdLG9uVm7eb1
TLSH	T1C0B533206AC84F205C15F6F39B43A79E9C68BA5B21065E36B76F9A45C36F0B02531FC7