| Key | Value |
|---|---|
| FileName | ./usr/share/nvidia-cuda-toolkit/samples/Samples/2_Concepts_and_Techniques/MC_SingleAsianOptionP/NsightEclipse.xml |
| FileSize | 2559 |
| MD5 | A531B39829FF75110C5B9AEEF2633413 |
| SHA-1 | 01831477A773AD088CCFB4054FF4D87A6E612374 |
| SHA-256 | 7548227AFE6AF211283872D8BA06BB3041DA803653027DFEAADF7B23968D4EB0 |
| SSDEEP | 48:cJT8AuvVqcFMHF8PJ9m5+MebnfJqfF3y+wJCCDxexRpREuY++iVgp3b0+NbHb/dd:2oAuvVqcFMloo+fbnfJqfdy+wJCCDxeY |
| TLSH | T12E5191A9C1F5E702B5D89A835754A09B1E81F09F9887744DB1DC0B29EF49CD642EF3B0 |
| 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 |