Key | Value |
---|---|
FileName | ./usr/share/nvidia-cuda-toolkit/samples/0_Simple/vectorAdd_nvrtc/Makefile |
FileSize | 14117 |
MD5 | 89CC791EEE66C750B8245A9E83051089 |
SHA-1 | 00DFAB21CD695A19E335A73AAB98337710584644 |
SHA-256 | 84B6407400AB2720D1384C10EBFAFE48CDEAC7B445029B20CF1391B4C0232ACF |
SSDEEP | 384:5kQ88p1mJiXhhUh/PLGKhmbXU/LJCt0emtN/2x/4N8/Ad0UAF2w/4d0UGAS0tFZn:+Q88p1mJiXhhUh/DGKhmbXEL8t0emtN5 |
TLSH | T115529366230477F20B5A42CF33056753954F8983BF2FEAB7F00C4AE43B63A5A8316A55 |
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 |