Result for 04FE94905685D678DC3C257F9755D25C67FC590B

Query result

Key Value
FileName./usr/lib64/nsight-systems-2021.3.2.4/documentation/nsys-exporter/search.html
FileSize3600
MD529D6164D940AC84A45AC0A90037D309A
SHA-104FE94905685D678DC3C257F9755D25C67FC590B
SHA-256FC195C31FECAD0B7BF02C3910F699D01B96B73478389BCDD0CB907E42F742C85
SSDEEP48:Gmnpwouffn0/DmHM9q5x2D9N426LLq0kW6Zv+djUrPq5x2Du42X4AJJe:vuffqDms9q2D9W26CnW6Za8C2Dl2pJe
TLSHT1F07173165CF1E813C06286D7E5F6ED16AE82D10B8705A808B1DC86BD1FD2F894E1FB8D
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 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
FileSize97501408
MD55DBCBC99F2AAA07E0DA914B7A6273058
PackageDescriptionNVIDIA Nsight Systems NVIDIA Nsight Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to smallest SoCs.
PackageMaintainerDebian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageNamensight-systems
PackageSectionnon-free/devel
PackageVersion2021.2.4.12~11.4.0-1
SHA-1CDA31460A8606EDB2670DD7056B8AEE19E179B20
SHA-25663C40497CDBD1B5CF8856D04EAB8A1C42525FDDF1EC5A2827EA387646F2A0935
Key Value
FileSize95934768
MD522FE58BAF8A81374416D944384350382
PackageDescriptionNVIDIA Nsight Systems NVIDIA Nsight Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to smallest SoCs.
PackageMaintainerDebian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageNamensight-systems
PackageSectionnon-free/devel
PackageVersion2021.1.3.14~11.3.1-4
SHA-1D447ACC39748ACCC29287559811C205A9B725936
SHA-2567BB5025E70950126152BFF3F9300BA49B03B39316BC69644520ACF6AC2432DDA
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