Result for 013E8ADA3ACE4227F48943E4855B31BFEAED7C32

Query result

Key Value
FileName./usr/share/nvidia-cuda-toolkit/samples/0_Simple/simpleAttributes/Makefile
FileSize12254
MD553215ADA6ACB86FA791DCDB2982B2E1A
SHA-1013E8ADA3ACE4227F48943E4855B31BFEAED7C32
SHA-2563DD5320ED5580BB51F851C9EA24D87A4F6A5F76B98E18F82DC629A6F3F302D28
SSDEEP192:5kHQ85iECBft1mJ8VXhhOT/5/EMLGKhmbXU/LJCt0emtN/2x/4N8/Ad0UAF2w/4c:5kQ88p1mJiXhhUh/PLGKhmbXU/LJCt0w
TLSHT18E428266231477B20F0781DB334AA757A55F84437F2FA927B40C4BD82B27A5BC319E98
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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