Result for 00080F60645177289D0748BE811529A085F454D2

Query result

Key Value
FileName./usr/lib64/NsightSystems-2019.3/Host-x86_64/libQt5PrintSupport.so.5
FileSize474088
MD585448616F26FF914D8CCB6B34652D37C
SHA-100080F60645177289D0748BE811529A085F454D2
SHA-2566B01AD1CDFA771787C6C16CBDF59D29EC6BA86B03FF81DF1D9DB57CF1FAA4273
SSDEEP6144:vDvdgwQWyJ5vuqLRAZsj4K9KMJmBqUtX3gd44igbPvyQQT7dYGlupwcB:mWAxAZ49KM8G70dO1
TLSHT13FA44B9BB9465CFDC4E18D34559F5B703A30F9448372AA2F21A4EA352D1F3183F2A729
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
MD517987B56FD923F069E16975784D8F444
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.
PackageMaintainerwally <wally>
PackageNamenvidia-nsight
PackageRelease1.2.mga7.nonfree
PackageVersion10.1.168
SHA-1CD5F459421DB2CEA3A68AB23E21FF5EE892D67D1
SHA-256CF4BFEFA1164850BE3038EB4A9D3A9B3F2427968E43F1D3A86D74BD6C845510A
Key Value
MD5C5938DF1651F6CFF164FA89360855AB4
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.
PackageMaintainertmb <tmb>
PackageNamenvidia-nsight
PackageRelease1.mga7.nonfree
PackageVersion10.1.168
SHA-187AC227330A5AEE98EE0928678CD20D73738254F
SHA-256B635C39DBEC7AF331D550FDB8A9E090025A93DF77EE2B9BC3177BECBFEB90C11