Key | Value |
---|---|
FileName | ./usr/share/nvidia-cuda-toolkit/samples/Samples/4_CUDA_Libraries/batchedLabelMarkersAndLabelCompressionNPP/NsightEclipse.xml |
FileSize | 2990 |
MD5 | EA9607BE3B1FD82F4E7F1DFA338680C0 |
SHA-1 | 001F793A918D3B3852B7074307BBB5BEC62C4831 |
SHA-256 | E57A5D15F5F5A67677F5A1BC28D5F547A0C084E6CA8CB61D92E0B7BED799AF42 |
SSDEEP | 48:cJk8pddrRv4RP4e0MxHVNdHJ9mF5ebnOjMwJWZmZ4ZYCDxexRp6lYS6mVgp3b0+a:2RpddrRv4RP4e0Mxrp3bnOwwJu+oYCD9 |
TLSH | T1A551BDA9D5F4A307F1D86B861B54509F0FD2E0AF984B700DB2DD4F649F49CE9426B3A0 |
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 | D566941D58BC0091A2F04341CE780038 |
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 | 2.mga9.nonfree |
PackageVersion | 11.8.0 |
SHA-1 | 84748E895DC6F18E5FA3B10004D26D5E45B2A80A |
SHA-256 | 897C8493AE248BC449EC92D3DF7E6AB45495F6341B7CF1FD874B57DF2E6A4E22 |