Key | Value |
---|---|
FileName | ./usr/lib64/NsightSystems-2019.3/Host-x86_64/libQt5PrintSupport.so.5 |
FileSize | 474088 |
MD5 | 85448616F26FF914D8CCB6B34652D37C |
SHA-1 | 00080F60645177289D0748BE811529A085F454D2 |
SHA-256 | 6B01AD1CDFA771787C6C16CBDF59D29EC6BA86B03FF81DF1D9DB57CF1FAA4273 |
SSDEEP | 6144:vDvdgwQWyJ5vuqLRAZsj4K9KMJmBqUtX3gd44igbPvyQQT7dYGlupwcB:mWAxAZ49KM8G70dO1 |
TLSH | T13FA44B9BB9465CFDC4E18D34559F5B703A30F9448372AA2F21A4EA352D1F3183F2A729 |
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 | 17987B56FD923F069E16975784D8F444 |
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 | wally <wally> |
PackageName | nvidia-nsight |
PackageRelease | 1.2.mga7.nonfree |
PackageVersion | 10.1.168 |
SHA-1 | CD5F459421DB2CEA3A68AB23E21FF5EE892D67D1 |
SHA-256 | CF4BFEFA1164850BE3038EB4A9D3A9B3F2427968E43F1D3A86D74BD6C845510A |
Key | Value |
---|---|
MD5 | C5938DF1651F6CFF164FA89360855AB4 |
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 | tmb <tmb> |
PackageName | nvidia-nsight |
PackageRelease | 1.mga7.nonfree |
PackageVersion | 10.1.168 |
SHA-1 | 87AC227330A5AEE98EE0928678CD20D73738254F |
SHA-256 | B635C39DBEC7AF331D550FDB8A9E090025A93DF77EE2B9BC3177BECBFEB90C11 |