Result for 011409597DFA7035FA1F6A94969B3DA02D56AF0F

Query result

Key Value
FileName./usr/share/nvidia-cuda-toolkit/samples/3_Imaging/EGLStreams_CUDA_Interop/Makefile
FileSize14560
MD5A4CCA6999ADAAF6083DAA0D1A634AAB5
SHA-1011409597DFA7035FA1F6A94969B3DA02D56AF0F
SHA-2569335D363ED18AC39ED6D79F0DAAD9707B29BA769595568C3C991AEC802D665DD
SSDEEP384:5kQ88p1mJiXhhUh/PLGKhmbXU/LJCt0emtN/2x/4N8/Ad0UAF2w/4d0UGAS0tFZm:+Q88p1mJiXhhUh/DGKhmbXEL8t0emtNA
TLSHT14862A356231437F20B5A46DF3305A753944F8583BF2FEAB7F00C4AE42B63A6A8316E55
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD50B1F7506CE1FC5E91EBC9FD61F63B1D8
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 numerous CUDA code samples (formerly CUDA SDK).
PackageMaintainerghibo <ghibo>
PackageNamenvidia-cuda-toolkit-samples
PackageRelease8.mga8.nonfree
PackageVersion11.2.0
SHA-10F5590BDAA7040EE5A82A216CFC88E1C43C8EEC4
SHA-256858433FB5D7BFFD3E84FA1EBD98496BDB7661A6544204409EFAC4EB4EA52C0BA