| Key | Value |
|---|---|
| FileName | ./usr/lib64/nsight-compute-2021.2.2.1/host/linux-desktop-glibc_2_11_3-x64/libQt5Widgets.so.5 |
| FileSize | 6693000 |
| MD5 | E3F74E266795FC7DF0B50DF466CE554A |
| SHA-1 | 03B249DCCFD8BA63712BBEEA9F497B2413902B30 |
| SHA-256 | 5A9D80B2BC54E858AA52D8C01C5739544C37DF2651E42B02BEC79661A68074E3 |
| SSDEEP | 49152:VNx38KrHSuPiFzBSzTCFQb5tnEuH/t4FMD09/xM++vwRTV5Jyt5OwMLCb4XCR56H:VlA8V5tEuftoMDSH+vw/Ja5X0c4A5 |
| TLSH | T174665B47F9935CEDC1FA8830466F95766E34BC8882326A3F22409B352E57F241F1BB65 |
| 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 |