Key | Value |
---|---|
FileName | ./usr/lib64/nsight-systems-2021.3.2.4/target-linux-x64/reports/nvtxppsum.py |
FileSize | 3434 |
MD5 | 5E22E540B6612734517B538C4444D7AD |
SHA-1 | 008CC284633E5AB0A8E8724977FC69D292D79B21 |
SHA-256 | 26755A04DEE0B6687A525B2FEA5FB7891441BEE391B85A492CDD8BC9F372BE3D |
SSDEEP | 96:0qz7gD4AEZRvZwmUt4fYSYFDAEpWVHrDcMwf:bz7gEAaTEcp0JpWVc7f |
TLSH | T1B36135CB5A2557A21AE651697AD230D532339187ED841B127EEDC19CCFC9B3E01BE0AC |
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 |