Result for 00FFD19852B03925924B398C1AD6576BB7A9F0E0

Query result

Key Value
FileName./usr/lib64/cuda-toolkit-root-dir/include/thrust/detail/functional/operators/operator_adaptors.h
FileSize83
MD5D62A9203C4E72E3B30FFEB8AC262C4CB
SHA-100FFD19852B03925924B398C1AD6576BB7A9F0E0
SHA-25603F43BEDFA8B1B29AB419E2E0ADF35989AA034869B4FE92109BEAA9F7709BA7A
SSDEEP3:gCCCCK5AKqWReIlKKqX4BVBAGRKGLN:/AKtReIiIjBxK8
TLSHT180A0113820B830800C022B20802BCC0083203C82B3002F0A220C88B0E8A3008233282E
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 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
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