| Key | Value |
|---|---|
| FileName | ./usr/share/nvidia-cuda-toolkit/samples/0_Simple/UnifiedMemoryStreams/Makefile |
| FileSize | 14941 |
| MD5 | 400E9D30B11F5B8EAA323B4278C477D5 |
| SHA-1 | 0295FD40119D802A9ADB702073C83E2D5634E69A |
| SHA-256 | FDD28B9EBA12A586F7810C261548689988A183DECA6C0C5D28A60C3414732EB6 |
| SSDEEP | 384:5kQ88p1mJiXhhUh/PLGKhmbXU/LJCt0emtN/2x/4N8/Ad0UAF2w/4d0UGAS0tFZP:+Q88p1mJiXhhUh/DGKhmbXEL8t0emtNh |
| TLSH | T12962A5562E1877B20B06C1DB3345A747E61B85577F2F9827F00D4BE42B13AAB831DB98 |
| hashlookup:parent-total | 2 |
| hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | F108977205C2C7E9D927E90AFB7369F7 |
| 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 | umeabot <umeabot> |
| PackageName | nvidia-cuda-toolkit-samples |
| PackageRelease | 5.mga9.nonfree |
| PackageVersion | 11.5.1 |
| SHA-1 | 5371A4D336F2AC9BEAD5564B8C9F48D840AC9FCF |
| SHA-256 | 00FE7FC6F9591E4525E8C664992462E60239E6D8E610DA43620758F06AEA7478 |
| Key | Value |
|---|---|
| MD5 | AB8A000B2F20A6F469CAD25730579CC0 |
| 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 | 1.mga8.nonfree |
| PackageVersion | 11.4.3 |
| SHA-1 | 59A13D16CAFD47867A724EDB9102750AE5AA5BFD |
| SHA-256 | E05DA37B80353C87126A5D999FB993283C249416CF16D533AA189E43C4F9E010 |