Result for 37ECFF8EBC099C57718BDB3BDE5D8FE4FD333C16

Query result

Key Value
FileName./usr/lib/nvidia-cuda-toolkit/Sanitizer/include/sanitizer.h
FileSize2846
MD51E87453C70B3C36D73F89D69A6898E91
SHA-137ECFF8EBC099C57718BDB3BDE5D8FE4FD333C16
SHA-256A57772FE46CB2D9896395913E1038F6724ABDCFCB930996BE150772447F885DE
SSDEEP48:JtLmmSHlaZiqmKn4rceMiVq4SngEeQ4o9F3qKOQPvkLGHfnusTcXFNZ+CScOWwG:3CmSYi9KwVqfb3qKLPciHWps1G
TLSHT12E518A7A3A100762A6D757B33F5E36CD610BB80E7617BC44242941D8DF2642851FFF94
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
MD51ED0367B7B00B2F237322C9802691604
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.
PackageMaintainertmb <tmb>
PackageNamenvidia-cuda-toolkit-devel
PackageRelease1.mga7.nonfree
PackageVersion10.1.168
SHA-131156EB92A3DF9FAC474ED4648BFB34E2AD5DB7B
SHA-25625364F2561589F83318703B65439EDC408F9E9A5C77ECCD5259FCA892B13BEA4
Key Value
MD5F16254696D0A9AC285261EB7EB027F84
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.
PackageMaintainerwally <wally>
PackageNamenvidia-cuda-toolkit-devel
PackageRelease1.2.mga7.nonfree
PackageVersion10.1.168
SHA-1E2E5A64DCE821EF177032E5A49E0CD80C135E2B6
SHA-2567F897ADD351E92FE29C5D0B11D709A7335C88B876F9927F5D3140C50A9BABA98
Key Value
FileSize35030568
MD531B63A91BC4C933328799DA8769A6412
PackageDescriptionNVIDIA CUDA development toolkit The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the nvcc compiler and other tools needed for building CUDA applications. . Running CUDA applications requires a supported NVIDIA GPU and the NVIDIA driver kernel module.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamenvidia-cuda-toolkit
PackageSectionnon-free/devel
PackageVersion10.1.243-3
SHA-18BCF5339D3A2A56DB6583847E466262B72235105
SHA-256C0817188D72D28A05D75BF76A380AA67B5FB49608976E4CC07F3B3C0F2C8005A