Result for 1196691042979F6DE284DF4F7266127BB5959126

Query result

Key Value
FileName./usr/lib/x86_64-linux-gnu/libcusparse.so.11.1.1.245
FileSize160711448
MD50CAF42AAB60BC20D3D6F3D320859E0BB
SHA-11196691042979F6DE284DF4F7266127BB5959126
SHA-2569754F9255918067C1B4687DE95690848E137EAEC4C4346A91DB0B4EAC04F1110
SSDEEP786432:nL9rtNDTgcnGDNEDifjAjLoqZ+v7geX7cXQ7CSW21drLFUlhjKzeD32oimyeSBPR:nL93gGGNWd+PjWyFUlhehjk+v1F
TLSHT167781257E3914A5AD51794744EAB023BDABBFC3022627858CF337B2B1DFB714A729210
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
FileSize71732480
MD567C95394D22619CDB11EE638FC1611DE
PackageDescriptionNVIDIA cuSPARSE Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The cuSPARSE library contains a set of basic linear algebra subroutines used for handling sparse matrices. It is implemented on top of the NVIDIA CUDA runtime and is designed to be called from C and C++. The library routines can be classified into four categories: * Level 1: operations between a vector in sparse format and a vector in dense format * Level 2: operations between a matrix in sparse format and a vector in dense format * Level 3: operations between a matrix in sparse format and a set of vectors in dense format * Conversion: operations that allow conversion between different matrix formats . This package contains the cuSPARSE runtime library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibcusparse11
PackageSectionnon-free/libs
PackageVersion11.0.3-1ubuntu1
SHA-15D40DD310758417BC565825566AAE24BEF986B8F
SHA-256715B2DDF871747663DFAAF5217AA1FC64117463921F72AE7ED9CB68A21547AC3