| Key | Value |
|---|---|
| FileName | ./usr/share/nvidia-cuda-toolkit/samples/3_Imaging/EGLSync_CUDAEvent_Interop/Makefile |
| FileSize | 15312 |
| MD5 | 8DEF9F41A1E4B5597F398F4317AA4536 |
| SHA-1 | 00AF5BF50A0CC80FEB5EAB0B3494DE934A226BAD |
| SHA-256 | A29AE5363668167E26ED6AF9BF378E6292040BDB0FD1C5153F4B6767CD66A92C |
| SSDEEP | 384:5kQ88p1mJiXhhUh/PLGKhmbXU/LJCt0emtN/2x/4N8/Ad0UAF2w/4d0UGAS0tFZX:+Q88p1mJiXhhUh/DGKhmbXEL8t0emtNN |
| TLSH | T1AB62A366231837F20B5A41CF33056713990B95A3BF2FA9B7F40C0BE42B67A5A8356B51 |
| 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 |