| Key | Value |
|---|---|
| FileName | ./usr/lib64/nvvp/p2/org.eclipse.equinox.p2.core/cache/artifacts.xml |
| FileSize | 1424 |
| MD5 | A4816BFE0E266B2A6F4C804D53AF76F6 |
| SHA-1 | 01E6C62A2A6417924BDE747EA0FE8273079B9B83 |
| SHA-256 | 6693B20A0803D674AFE71246301341C0DA8E442EBA5E835B3223900110D27EA9 |
| SSDEEP | 24:qRbBPDXoFkqhq/8z3Mg5W7pvx5W/255Wx41xbj6ASAq4EsASAqZ9E0VRyNAq2o1:WPt6mQ3MgiDc252AxFSA/2SAuzRiA5o1 |
| TLSH | T13B21D032DCF8CCB613820F40AF2AD8816F01509B2E24319D77ED13185FE7E9981235AB |
| 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 | 6122D0DEC9E26DB1180D42BD782EA297 |
| 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 NVIDIA Visual Profiler for CUDA and OpenCL. |
| PackageMaintainer | ghibo <ghibo> |
| PackageName | nvidia-visual-profiler |
| PackageRelease | 1.mga8.nonfree |
| PackageVersion | 11.4.3 |
| SHA-1 | 9A9E34F0F94031812EDF58E305FCD996C3F27BAF |
| SHA-256 | 1FB1D4C103FE41B44FEAAA9E959661B8F96B12E433952B6AEDA0EC47A40760B4 |