Result for 900B524CC1CECE61895634D5E19480D042687A2D

Query result

Key Value
FileName./usr/lib/aarch64-linux-gnu/libcusparse.so.11.6.0.109
FileSize232150720
MD5DCB0A081743FDFADE054A730F8AF42E4
SHA-1900B524CC1CECE61895634D5E19480D042687A2D
SHA-256348F372871F2AF2548550CA3BAA52E3D37042CB024E2565CCDC5C976E6B75C7F
SSDEEP786432:4Lv5hCml/3aChDLPSvG4aYDkQVBfUOUwZ0UTdRbZ5DpTLhCs44A2wSwp5R2TcCuM:sC+phnQTdLMsoXDA
TLSHT1AAB81263A3489E1AC15622785FD7052BE9AFDD7023B3704CDD37376F0DBB6488A6A124
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
FileSize103743396
MD55D4209E95BE04EE11356D90B09F1BA87
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-10641AEF051B097C34E01501AA0FFF409B62342D9
SHA-2566D6B31AE3FB607211D99C72A482E6FD46BB232311CD5A656A2F0D7F3A72D7129