Result for 00801D649E7650499D7B694E02D37F6923A95A43

Query result

Key Value
FileName./usr/lib/.build-id/f5/6947f86a8514b2fc76f0dc594f068b52372914
FileSize40
MD54ACA3301A8199F23E2A59C0AAE18871C
SHA-100801D649E7650499D7B694E02D37F6923A95A43
SHA-25692D717DAD3850F79BF2458AB550112C4387173616B27BEA6F42AEDFB4F1B7BC1
SSDEEP3:gCD/qIHhmGp:X/fkGp
TLSH
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5FD28072790076BF1F425957752994C20
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains the development files needed to build programs that make use of CUDA.
PackageMaintainerghibo <ghibo>
PackageNamenvidia-cuda-toolkit-devel
PackageRelease2.mga9.nonfree
PackageVersion11.8.0
SHA-186634BAD2A7454730FA205ED35C51C82810E1174
SHA-2569FE4A61C84FA09B8638CFF7A50881F8A929B29D91251839496BE82EE7A8E635D
Key Value
MD577288B73382A811C17BC6C534D5AF84B
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains the development files needed to build programs that make use of CUDA.
PackageMaintainerghibo <ghibo>
PackageNamenvidia-cuda-toolkit-devel
PackageRelease1.mga8.nonfree
PackageVersion11.4.3
SHA-146264026A5D578719AAE3BFEAFE22728CD9A8415
SHA-256B8ADE1366CCC1BA26385FE8AE67C95752A589F1A269D30D6DE4E7DEC9A3B5B42
Key Value
MD5705565019EB5D8FC4D109A518FE3A6EE
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains the development files needed to build programs that make use of CUDA.
PackageMaintainerghibo <ghibo>
PackageNamenvidia-cuda-toolkit-devel
PackageRelease8.mga8.nonfree
PackageVersion11.2.0
SHA-1AC73B7C9D73A35B244AAD63A0949EAD0E9A800D5
SHA-2561FF9273A4802E977FCF1911F9293F3176BE5B7B5B1D10F838DA6AD12CD24CD39
Key Value
MD5425C54152B3D95819BDD8DC517787C85
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains the development files needed to build programs that make use of CUDA.
PackageMaintainerumeabot <umeabot>
PackageNamenvidia-cuda-toolkit-devel
PackageRelease5.mga9.nonfree
PackageVersion11.5.1
SHA-1A44E5A1C69FF5267C087BF8A62AB04D3A421DE98
SHA-2565EDD5A094884E54B429ABBE67ABA5557568CED417026187C1E8D1EC84F7A3857