| Key | Value |
|---|---|
| FileName | ./usr/share/nvidia-cuda-toolkit/samples/Samples/2_Concepts_and_Techniques/dct8x8/dct8x8_vs2019.sln |
| FileSize | 841 |
| MD5 | CF188A87EEF73674A31DC88CAA40E6DB |
| SHA-1 | 00E973DE67E5A7BD3636DDE8125BEE71A318C67A |
| SHA-256 | C728A769744A72A2CC715F7890FB52BBA03285BCF5528156A1028F618D3D8623 |
| SSDEEP | 12:qPE7RkI7Sjy4DnqdKRrG6Pa6RroqdKnHK0qdKMV0qdcxqdp8JLuCV:qPEWImjrU64qHVgq8T |
| TLSH | T1050155EC243E68F1D84B429FE0C20E2A7E3746DC9288493E48C7A02D632BF41914F15B |
| 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 |