| Key | Value |
|---|---|
| FileName | ./usr/lib64/nsight-systems-2020.4.3/documentation/nsys-exporter/_static/stub.report32.h5dump |
| FileSize | 7851 |
| MD5 | 53C3D3CAF883467F4CAC2DFBAC052C88 |
| SHA-1 | 023C44C62523C9567B98E7B275C52948B3D7CA26 |
| SHA-256 | E109D79ACCB54071FA26644939895BD0D6982BACF61D4C73E92D2C3F73590608 |
| SSDEEP | 192:nbeei4wkrWeP0e9Ze4NePke8jeP5e39eFweJq0bnelZbeb/Dn2+eoreoNe+dT8e5:w4r06SzBh |
| TLSH | T1BCF18BD70BAA874666D6A07447F71A33217684D32D29DC7739CD050A8F27E7FA6B020D |
| tar:gname | root |
| tar:uname | root |
| hashlookup:parent-total | 3 |
| hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | http://archlinux.mirror.root.lu//pool//community//cuda-tools-11.2.2-1-x86_64.pkg.tar.zst |
| MD5 | 3C866038775294158C25594C03BCD1BC |
| SHA-1 | FF7321217FF37D068C5AC3178FE1B2B5333E5EF2 |
| SHA-256 | 4EC809EB710EC7467F43A5E807A63D9ED4CB4CFB5FF85A50C290D9FE22553AB8 |
| SSDEEP | 12582912:wjcgxaR4yrt5gHsFRbokV6+1iHjsJ6IxISLjHeSXaHwyjvZYTxWJVOd2p:wjcgd87++mM6m0A0op+nHwyNImVOA |
| TLSH | T106793350C242199DD8CBE038E986F3D8DEF537A5EC01FE9D9A71B6315263BD5ACA8C04 |
| Key | Value |
|---|---|
| FileName | http://archlinux.mirror.root.lu//pool//community//cuda-tools-11.2.0-3-x86_64.pkg.tar.zst |
| MD5 | 591FF8CF55ED68D3099192C865275436 |
| SHA-1 | 456B180CB56503292C017E9EF068688733647C30 |
| SHA-256 | AF0349A3A77D71A24F68DE02357306C7DCCEEB70D70614247D67A47953683D85 |
| SSDEEP | 12582912:qReFM4dv8h0fCvDuRVidGMFqfZavGvhRUP5BWoSfBnsVHMttQ951yPlE2F/:qReFRwgEDSkqB4GLy5vVSSfyN1F/ |
| TLSH | T1A569338082433E8FE8DAF03CA9D8F3959EF23785AD01B4D6AA61F17570535E458EE81D |
| Key | Value |
|---|---|
| MD5 | 973591B37A09F08C32630B9C300F8320 |
| 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 | 8.mga8.nonfree |
| PackageVersion | 11.2.0 |
| SHA-1 | 8FB8CCF6F73C250BE1202930BFB3635444FE7B0F |
| SHA-256 | E3479E7657C9E5CB23DC91E168E2A79FE9A91DB7E2DEBAA33AB5FC0468A758A6 |