| Key | Value |
|---|---|
| FileName | ./usr/lib64/NsightSystems-2019.3/Host-x86_64/libCommonProtoStreamSections.so |
| FileSize | 64296 |
| MD5 | 251B4F02F477611A20DE4BA05EC7FF33 |
| SHA-1 | 006FC0F874C291B22E06F8766609AE89CB5A1D63 |
| SHA-256 | 00A2B4D76D97E3EA376083BE195E11A0B595B7D0FE00638E485568FAA49DD350 |
| SSDEEP | 768:uhABglfsjOsKP8Oz+S9IHgJkyc2VhW1O1GDpov:6RfsjmPvpIAaqVQo1d |
| TLSH | T1FC531A47F2C198BEC0DA4734087BF2255DBCAD128197E426A540F33A3C6EA9C5F27796 |
| 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 |