Result for 7105D061D9FD87304C9F7AA6C17D303EBCE02397

Query result

Key Value
FileName./usr/lib/powerpc64le-linux-gnu/libcusparse.so.11.6.0.109
FileSize235485776
MD5DBEBB1A5899A64F86F03ADB9C670CA9F
SHA-17105D061D9FD87304C9F7AA6C17D303EBCE02397
SHA-256B4BFAAEF31ACE652FB27666F6D2B5E59EC6BC5705895381120675CF8C35868FD
SSDEEP786432:qysrd2FAKPw9BKCGr/3aCEDLPSvG4aYDkQVBfUOUw50UTdRbZ5DpTLhCs44A2wSV:ZCUJEnQTdLMsoXjA
TLSHT18AB8126373449F5BC652103A5AE70627FAABAD3017A3B448D927375F0DFB7088F6A124
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
FileSize103623200
MD5686041C5D046305399334E15A6E475BF
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.
PackageMaintainerDebian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageNamelibcusparse11
PackageSectionnon-free/libs
PackageVersion11.6.0.109~11.3.1-4
SHA-11C18691372D7774FAE0CCC317CD48FD15D60FF3D
SHA-256438EC3EF0FCE96F0EEE3DF4742161784325E0D78A0EC6D4A2437487F7255F614