Result for 06A9E08DEF29171FC0A5769A901BE9F019653D28

Query result

Key Value
FileName./usr/lib64/cuda-toolkit-root-dir/lib64/libnppim.so.11.8.0.86
FileSize43
MD54A7356B25B0ABBB1113A4EC918096F30
SHA-106A9E08DEF29171FC0A5769A901BE9F019653D28
SHA-25618648C992A13FF08B83291848962E935A5DF15E1DB86430A40C9BCFD28D3426F
SSDEEP3:gCD/jiKRLdhpTn:X/9RP9
TLSH
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 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
MD5A372A5A80C68AC207AFB97633707F436
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 libraries and attendant files needed to run programs that make use of CUDA.
PackageMaintainerghibo <ghibo>
PackageNamenvidia-cuda-toolkit
PackageRelease2.mga9.nonfree
PackageVersion11.8.0
SHA-13CB4BB4D187F19A886F40E5691D59005E15BA6A8
SHA-2567F00634F260F606895E93F5BAF54A7696B0C39090230921FA28F2C2372048892