| Key | Value |
|---|---|
| FileName | ./usr/lib64/nsight-systems-2021.3.2.4/target-linux-x64/reports/__pycache__/_values.cpython-38.pyc |
| FileSize | 1497 |
| MD5 | CC5637CA46C17F9981D870882B9CFC49 |
| SHA-1 | 02791EE08DFB64D7F30FD9D322CC52001ADF2076 |
| SHA-256 | 05D024BC8B78217BD8319318C82DFCABEA6DDFEE3B8D680B6F11AF7CCCCE69F7 |
| SSDEEP | 24:cGeJwWIV5TBfRCy/c5Mw5SZeiH+nlvF6Z8Hs9I+gexUsJ4RRcAIk6It4/oy:jeMbHCCc5MTZ3enhF6Z8Hsu6YcTMt7y |
| TLSH | T1283196D3BFD947B8E874B1B352AE0525AEF144BFB64472863C4D02811F0DDD905A853D |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | D3BAC132C2BBEF3CFFD923CB13C4137A |
| 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 | ghibo <ghibo> |
| PackageName | nvidia-nsight |
| PackageRelease | 1.mga8.nonfree |
| PackageVersion | 11.4.3 |
| SHA-1 | 9A1A9B931096E114AE3F472EFC173E2545C876BF |
| SHA-256 | 30FE5DF5B39A20014F640CEBF317A5481DF2CE9F22291F0D78DBAADDA2ECD22A |