Result for 010CCCAC561E4DECAFD1D6FF2637870CA9760759

Query result

Key Value
FileName./usr/lib64/cuda-toolkit-root-dir/include/cub/block/block_discontinuity.cuh
FileSize56
MD5AD0D9E986C06E4015E99B323D40C455C
SHA-1010CCCAC561E4DECAFD1D6FF2637870CA9760759
SHA-2562116F1B27D992CD82B41216FD6522BCB4A6F1079014590B714641361130BBECC
SSDEEP3:gCCK5AdZNHERWGQqFgHN:JArNkRBlFM
TLSHT18C900270407CB0C90341D02508406C6403585C4173045FA0D55CD8F4605C6C92836887
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