Result for 064F6025233A8FA8398C5317CBA6379238D3EC22

Query result

Key Value
FileName./usr/lib/powerpc64le-linux-gnu/libcusparse.so.9.2.148
FileSize66910768
MD5BE44E15C16F588CE2D1D289F8A7569AE
SHA-1064F6025233A8FA8398C5317CBA6379238D3EC22
SHA-256B68B8C9B1A19EB5EC64EBC863D5F3CBC3F7F308EDF75EAE74981F91DF893AD3D
SSDEEP786432:jnyROMOCOUOVOCOrOpj6erd/vu1YVyiS67VojkNFLvSmYP:jnyury8ojkg
TLSHT1AEE7F153B29B5D47E7701C3A0A7A02552A2A2C70E250F490FE37360B2FFBA54DE55A1F
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
FileSize27650656
MD57E6F4A064012BAA86F7EBAA3C3B00530
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>
PackageNamelibcusparse9.2
PackageSectionnon-free/libs
PackageVersion9.2.148-7+deb10u1
SHA-10B9AD4C4F68216496680931CB4D72A19156BFFFB
SHA-256B42841D55B1A33691A91845D0B7B749EA2402A6C27B56CE317A7AEE7ED60F075