| Key | Value |
|---|---|
| FileName | ./usr/lib64/NsightCompute-2019.3/target/linux-desktop-glibc_2_11_3-x86/libInterceptorInjectionTarget.so |
| FileSize | 923860 |
| MD5 | D5DD68D8B2BC3D92140055834ADA61AF |
| SHA-1 | 01347F900ABF477B55F8B1C1ABDB4C339DD5CC02 |
| SHA-256 | 351758BD4B51C0B82482DAE9E83B3E116DFA789C7FBF3C7607492DEC62622DEE |
| SSDEEP | 24576:ddJ6JzJ0JWJfJ/JpJWfJSdtdjwtTEyN3ehlSmts9UTyEfj6OfyxOEDm4ACH9od6I:d54QGTx6ACdod6 |
| TLSH | T1A6155A19EB86D8B0F7B360F10256E7F26954260B4013D2FBBE8EBBA931731625F451B1 |
| 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 |