Result for 0E982B5FBF79DC189DCC940E963FE8559B288282

Query result

Key Value
FileName./usr/lib64/libcublasLt.so.11.6.5.2
FileSize309215112
MD5937FE4A876BD08B8690C49601A034A4A
SHA-10E982B5FBF79DC189DCC940E963FE8559B288282
SHA-256E7903BA95391FAB43B3BB50FC49F83BB3B5FB12ECD018585C5ADC15105418FBA
SSDEEP1572864:S74Bgaq8vzJTi9ZWFCxfvr8vTlCN2Sl4MmLmGk9QU31miCK6O515G2LYK/pD6WcX:lBgO9Ti90FUN2gpGgQUf3dXYkmMLK
TLSHT15CE8F107F382865EC55BC434966B5233EA31BC2802357F66CF55BB362CB7BA45728B24
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
MD5DA18F12D635B53966BA58EF4D38DD84A
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
PackageRelease1.mga8.nonfree
PackageVersion11.4.3
SHA-1ECF62406B22DD6176CAEB5F94D0079C9D8CA7772
SHA-256B9111E42A9B8DB236B556A1EF8D93D8B7DC3B2B5CADBC550CCAF4808B9D94F4C