Result for 07E47DE3332415BC0F7DFE1C81C3F0116278764F

Query result

Key Value
FileName./usr/share/doc/libcusparse11/changelog.Debian.gz
FileSize1642
MD52E5FB4C4DD454A02DB449285BA079DEE
SHA-107E47DE3332415BC0F7DFE1C81C3F0116278764F
SHA-2565A358500706AD95BE40E0980FCB01D8751761F86FBC0A0EB5EFB8CAA9F328AAA
SSDEEP48:XJw/1h+b0bZUm0FCSfI0+I4FKOl9jWsIIc:Zw/1hFem0FCXjI44OWVn
TLSHT1253118E20F002F4AE94161225E495B4C341A58CA332D705CCDC2ACA6CF244EA877FE00
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