| Key | Value | 
|---|---|
| FileName | ./usr/lib64/nsight-systems-2022.4.2/target-linux-x64/reports/gpumemtimesum.py | 
| FileSize | 3269 | 
| MD5 | A788DCA0419C2C25BBCE721868B99343 | 
| SHA-1 | 02B743FD544DE9940F2038788AC41DC291C95B83 | 
| SHA-256 | F3EDEAFEC2992E19B43D51F898278D69A6C501DE728F12B2EFAB0189AE972D81 | 
| SSDEEP | 48:VyhoTfjvDQjvHixNwAq7p4heQXNntvVfzOwvada1ePLYx0X99SSW:I2LjvDcvCxCACpOeqnpFzBakEzjt4F | 
| TLSH | T12861548604183370689B8A9B6A9A34C2733384133D10250535BFC1B85F9F86B97B79BC | 
| 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 | D7C5DE793CF5CAA12C99466428B9AFEE | 
| 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 | 2.mga9.nonfree | 
| PackageVersion | 11.8.0 | 
| SHA-1 | 413B1589F7AF8A874B15DEEACD8F37D17547DA85 | 
| SHA-256 | F04A4109ED0841E5184D4E7E2DC97BB84567EE0B6494DE729F1916B150D4942F |