Result for 7738624DADF16AB3286948AB833853D6A8B0F275

Query result

Key Value
FileNamesnap-hashlookup-import/usr/share/doc/libcombblas1.16.0/copyright
FileSize11218
MD5E8FE91D7051D7B443B8BEE9DB15C6AB4
SHA-17738624DADF16AB3286948AB833853D6A8B0F275
SHA-256C0E9A3974967317D757764E7DC3593CA9A4C30389195E1B65AB323DDF905DCCB
SHA-5129E86A54CEEC9D8BC581DD2DDA2CB46C53BBA41C0E481B25135CF6373988189D919E530C9655AC89C59B5529DDBEAF08B091F16F93981327241B8E8306790B797
SSDEEP192:xsBhYrsKrsN5c3313d2f3T3BYrsirsl/3n3s59orstrsesd33L39aeaB7yorsxrH:xsBarsKrsjcHddC3T3qrsirslP31rsti
TLSHT16F320B4B33400BB30AE227913A6AADC9B15ED02D7B376D04686DE3496B3B42ED5F7451
insert-timestamp1728193385.7831445
mimetypetext/plain
sourcesnap:6gjU50q0lEDaMTtSUxYoVDSmjR5fERpB_908
hashlookup:parent-total97
hashlookup:trust100

Network graph view

Parents (Total: 97)

The searched file hash is included in 97 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
SHA-1000086A5ECF2783A735698738486F8C548D5D39A
snap-authoritycanonical
snap-filename6gjU50q0lEDaMTtSUxYoVDSmjR5fERpB_245.snap
snap-id6gjU50q0lEDaMTtSUxYoVDSmjR5fERpB_245
snap-namefreecad
snap-publisher-idnbM3ZPW49wgmlSh0OwD2wYDVLh2iUXth
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2022-05-16T16:01:05.150385Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/6gjU50q0lEDaMTtSUxYoVDSmjR5fERpB_245.snap
Key Value
FileSize256144
MD5EF556FF8E8FD809EE9322F5900FE8420
PackageDescriptionan extensible parallel graph library for graph analytics The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics. . - The Combinatorial BLAS development influences the Graph BLAS standardization process. - It achieves scalability via its two dimensional distribution and coarse-grained parallelism. - CombBLAS powers HipMCL, a highly-scalable parallel implementation of the Markov Cluster Algorithm (MCL). - Operations among sparse matrices and vectors use arbitrary user defined semirings. . This package provides the combblas shared library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibcombblas1.16.0
PackageSectionlibs
PackageVersion1.6.2-6
SHA-100CAE2335C1EF6201F5C347861CB2B11B7408922
SHA-256431EAFCB3CE960A9B8812C0B3E0B8463E18B7E80501CAA20704D9C39497C8103
Key Value
FileSize268932
MD5607A3FC0A7F696E3DF1B0BA1F7D140EB
PackageDescriptionan extensible parallel graph library for graph analytics The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics. . - The Combinatorial BLAS development influences the Graph BLAS standardization process. - It achieves scalability via its two dimensional distribution and coarse-grained parallelism. - CombBLAS powers HipMCL, a highly-scalable parallel implementation of the Markov Cluster Algorithm (MCL). - Operations among sparse matrices and vectors use arbitrary user defined semirings. . This package provides the combblas shared library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibcombblas1.16.0
PackageSectionlibs
PackageVersion1.6.2-3
SHA-1045145F90C46B6D59EB2EDADFD26330493F31E71
SHA-256E941817546D47210CAB752A07AAA1FB2C08CE49D94502572A65105B79DF9274D
Key Value
FileSize258780
MD596AC2E91859AC3AC157EA6B024A7D277
PackageDescriptionan extensible parallel graph library for graph analytics The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics. . - The Combinatorial BLAS development influences the Graph BLAS standardization process. - It achieves scalability via its two dimensional distribution and coarse-grained parallelism. - CombBLAS powers HipMCL, a highly-scalable parallel implementation of the Markov Cluster Algorithm (MCL). - Operations among sparse matrices and vectors use arbitrary user defined semirings. . This package provides development files for building client applications against combblas.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibcombblas-dev
PackageSectionlibdevel
PackageVersion1.6.2-8
SHA-108FD5005F251653C6AD030C927FFC3DBB95B0019
SHA-256418925A85B3B2194AA105C7D436BDD10A3CD47AE87A4FEE687CD631EB4DDEB0B
Key Value
FileSize255612
MD5309EE2F1AB36E747DB237AB178714D49
PackageDescriptionan extensible parallel graph library for graph analytics The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics. . - The Combinatorial BLAS development influences the Graph BLAS standardization process. - It achieves scalability via its two dimensional distribution and coarse-grained parallelism. - CombBLAS powers HipMCL, a highly-scalable parallel implementation of the Markov Cluster Algorithm (MCL). - Operations among sparse matrices and vectors use arbitrary user defined semirings. . This package provides development files for building client applications against combblas.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibcombblas-dev
PackageSectionlibdevel
PackageVersion1.6.2-3
SHA-10A41DBDCCDA8C9EF37306750BEA7314170509A29
SHA-256601864DCC9F85AAED20F340B1662886F3C466A03A86573B627B0557EAF64176B
Key Value
SHA-110C059BFDD2DC31488E7CF196EA3BF9FB7086BC0
snap-authoritycanonical
snap-filenamewPVGeAlP8jzZtPrew8Qaa834dua69u2k_41.snap
snap-idwPVGeAlP8jzZtPrew8Qaa834dua69u2k_41
snap-namefreecad-realthunder
snap-publisher-idoqvxKop4k2ZHRFJ0oiDBYqDsUgtlhIfi
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2021-12-23T13:00:36.851649Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/wPVGeAlP8jzZtPrew8Qaa834dua69u2k_41.snap
Key Value
FileSize269752
MD5025D18129ABC9761086777DBF33FFE76
PackageDescriptionan extensible parallel graph library for graph analytics The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics. . - The Combinatorial BLAS development influences the Graph BLAS standardization process. - It achieves scalability via its two dimensional distribution and coarse-grained parallelism. - CombBLAS powers HipMCL, a highly-scalable parallel implementation of the Markov Cluster Algorithm (MCL). - Operations among sparse matrices and vectors use arbitrary user defined semirings. . This package provides the combblas shared library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibcombblas1.16.0
PackageSectionlibs
PackageVersion1.6.2-3
SHA-11275FD8896FB9BAEFF0B6D32A302E0ACFF637CCB
SHA-2566D5DFB9535C5AC92D950A4383B7A614CFB63487B7597EAC977C45BDE84E019FF
Key Value
FileSize255636
MD5FAC4EEAB8A24F981CC7B7DE60E4F88D8
PackageDescriptionan extensible parallel graph library for graph analytics The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics. . - The Combinatorial BLAS development influences the Graph BLAS standardization process. - It achieves scalability via its two dimensional distribution and coarse-grained parallelism. - CombBLAS powers HipMCL, a highly-scalable parallel implementation of the Markov Cluster Algorithm (MCL). - Operations among sparse matrices and vectors use arbitrary user defined semirings. . This package provides development files for building client applications against combblas.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibcombblas-dev
PackageSectionlibdevel
PackageVersion1.6.2-3
SHA-114460EB83284470A108F2637CD6681C39DE4BD88
SHA-256490EF15838EF8FD1CDD10D48790B72311A3D8094AF69C7714BAF77D2C66F5A01
Key Value
FileSize281080
MD52195841BA5154D41F248EE148DEDDD81
PackageDescriptionan extensible parallel graph library for graph analytics The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics. . - The Combinatorial BLAS development influences the Graph BLAS standardization process. - It achieves scalability via its two dimensional distribution and coarse-grained parallelism. - CombBLAS powers HipMCL, a highly-scalable parallel implementation of the Markov Cluster Algorithm (MCL). - Operations among sparse matrices and vectors use arbitrary user defined semirings. . This package provides the combblas shared library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibcombblas1.16.0
PackageSectionlibs
PackageVersion1.6.2-8
SHA-1168D414438B877FC4FB0AFB5D0F008662CD64EBB
SHA-2562DFC2FE7066D187C60BEF6B6A8422081D733426078903179F9EF856C36B59DDE
Key Value
FileSize282008
MD5C9B9BD068A8E65938F9F98C6EA7F8B3E
PackageDescriptionan extensible parallel graph library for graph analytics The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics. . - The Combinatorial BLAS development influences the Graph BLAS standardization process. - It achieves scalability via its two dimensional distribution and coarse-grained parallelism. - CombBLAS powers HipMCL, a highly-scalable parallel implementation of the Markov Cluster Algorithm (MCL). - Operations among sparse matrices and vectors use arbitrary user defined semirings. . This package provides the combblas shared library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibcombblas1.16.0
PackageSectionlibs
PackageVersion1.6.2-6
SHA-117E1DA3B24FEA739D6CEE065A897DBCA72DDACC1
SHA-256FA68B2678D6912BE9B18642177DFEA68EB7626EB9BD5B2E3B39FB8C3235D5046