| Key | Value |
|---|---|
| FileName | ./usr/lib64/nsight-systems-2022.4.2/documentation/UserGuide/graphics/system-profiling-options.png |
| FileSize | 7838 |
| MD5 | 3580606B2997320EB7DD5A1F52B6F2DE |
| SHA-1 | 02D13C9E9C9D58F214032E3F035B1F574D5BE5A1 |
| SHA-256 | CA040F8FCF3E9F925330F5C8DC32E55971B491696242E64FBF0149A2B9F99E1B |
| SSDEEP | 192:+Du5ZC2u+gTL6BPwXNnKmWU77rO75yJXKLFrFo4JyLdhwHz24:9G+g3LKg77rzMLzo4QQX |
| TLSH | T10FF15C4A81C57CD3EECD674F94F14AAA63758E016E4188BBD2C60F4AA82DD858733842 |
| 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 | D7C5DE793CF5CAA12C99466428B9AFEE |
| 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 Nsight Eclipse Edition, a full-featured CUDA IDE. |
| PackageMaintainer | ghibo <ghibo> |
| PackageName | nvidia-nsight |
| PackageRelease | 2.mga9.nonfree |
| PackageVersion | 11.8.0 |
| SHA-1 | 413B1589F7AF8A874B15DEEACD8F37D17547DA85 |
| SHA-256 | F04A4109ED0841E5184D4E7E2DC97BB84567EE0B6494DE729F1916B150D4942F |