Result for 008CC284633E5AB0A8E8724977FC69D292D79B21

Query result

Key Value
FileName./usr/lib64/nsight-systems-2021.3.2.4/target-linux-x64/reports/nvtxppsum.py
FileSize3434
MD55E22E540B6612734517B538C4444D7AD
SHA-1008CC284633E5AB0A8E8724977FC69D292D79B21
SHA-25626755A04DEE0B6687A525B2FEA5FB7891441BEE391B85A492CDD8BC9F372BE3D
SSDEEP96:0qz7gD4AEZRvZwmUt4fYSYFDAEpWVHrDcMwf:bz7gEAaTEcp0JpWVc7f
TLSHT1B36135CB5A2557A21AE651697AD230D532339187ED841B127EEDC19CCFC9B3E01BE0AC
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

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
MD50786BCFB8FCAFB8AE929567E34C32F3F
PackageArchx86_64
PackageDescriptionNVIDIA® 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.
PackageMaintainerumeabot <umeabot>
PackageNamenvidia-nsight
PackageRelease5.mga9.nonfree
PackageVersion11.5.1
SHA-10E90AF8A2A1DD970E3F78C0EA62FD91B3D2D1DB9
SHA-256BA411B939DA19657DD684D40D5863A587A782B8BC0A20724316A273F432E2242
Key Value
MD5D3BAC132C2BBEF3CFFD923CB13C4137A
PackageArchx86_64
PackageDescriptionNVIDIA® 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.
PackageMaintainerghibo <ghibo>
PackageNamenvidia-nsight
PackageRelease1.mga8.nonfree
PackageVersion11.4.3
SHA-19A1A9B931096E114AE3F472EFC173E2545C876BF
SHA-25630FE5DF5B39A20014F640CEBF317A5481DF2CE9F22291F0D78DBAADDA2ECD22A