Key | Value |
---|---|
FileName | ./usr/share/nvidia-cuda-toolkit/samples/3_Imaging/EGLStreams_CUDA_Interop/Makefile |
FileSize | 14560 |
MD5 | A4CCA6999ADAAF6083DAA0D1A634AAB5 |
SHA-1 | 011409597DFA7035FA1F6A94969B3DA02D56AF0F |
SHA-256 | 9335D363ED18AC39ED6D79F0DAAD9707B29BA769595568C3C991AEC802D665DD |
SSDEEP | 384:5kQ88p1mJiXhhUh/PLGKhmbXU/LJCt0emtN/2x/4N8/Ad0UAF2w/4d0UGAS0tFZm:+Q88p1mJiXhhUh/DGKhmbXEL8t0emtNA |
TLSH | T14862A356231437F20B5A46DF3305A753944F8583BF2FEAB7F00C4AE42B63A6A8316E55 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
MD5 | 0B1F7506CE1FC5E91EBC9FD61F63B1D8 |
PackageArch | x86_64 |
PackageDescription | NVIDIA® 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). |
PackageMaintainer | ghibo <ghibo> |
PackageName | nvidia-cuda-toolkit-samples |
PackageRelease | 8.mga8.nonfree |
PackageVersion | 11.2.0 |
SHA-1 | 0F5590BDAA7040EE5A82A216CFC88E1C43C8EEC4 |
SHA-256 | 858433FB5D7BFFD3E84FA1EBD98496BDB7661A6544204409EFAC4EB4EA52C0BA |