| Key | Value |
|---|---|
| FileName | ./usr/lib64/nsight-systems-2021.3.2.4/host-linux-x64/libQt5ScriptTools.so.5 |
| FileSize | 842624 |
| MD5 | 031AAC705CDE9D2B36AA8FFCB16009A6 |
| SHA-1 | 036BA875EC01ED06CE027DB8F6FAC4EBBF5CA736 |
| SHA-256 | 62121DEA8FDA83FFBC3AEAE8A85157B4153C0A06949128EBBD062D1FB53BF44F |
| SSDEEP | 6144:ggcBqccOtvaDNS53P4fTkO0r5gLYvlxN0kivFRuEL97Gd/1vAkwzbsEbrxeqtWo6:CVdUNS5P4f0PbOkimoGF1vAdjnHnEj |
| TLSH | T15F052906FA8A24FDC1A58935975FC2367A74FC504331AA2BB548AA343F06B744F2F791 |
| 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 | 0786BCFB8FCAFB8AE929567E34C32F3F |
| 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 | umeabot <umeabot> |
| PackageName | nvidia-nsight |
| PackageRelease | 5.mga9.nonfree |
| PackageVersion | 11.5.1 |
| SHA-1 | 0E90AF8A2A1DD970E3F78C0EA62FD91B3D2D1DB9 |
| SHA-256 | BA411B939DA19657DD684D40D5863A587A782B8BC0A20724316A273F432E2242 |
| Key | Value |
|---|---|
| MD5 | D3BAC132C2BBEF3CFFD923CB13C4137A |
| 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 | 1.mga8.nonfree |
| PackageVersion | 11.4.3 |
| SHA-1 | 9A1A9B931096E114AE3F472EFC173E2545C876BF |
| SHA-256 | 30FE5DF5B39A20014F640CEBF317A5481DF2CE9F22291F0D78DBAADDA2ECD22A |