Result for 66DBA689488B9DB32444B28765B7F2397024D0A1

Query result

Key Value
FileName./usr/lib/aarch64-linux-gnu/libcusparse.so.11.6.0.43
FileSize233970248
MD50536B0BBF225CEB6C94B06FFECB14B93
SHA-166DBA689488B9DB32444B28765B7F2397024D0A1
SHA-25602F3AA32B1AFEDE95BAC3CCFE5522147B3CAC614B71DFEBA181C04A5DE97F205
SSDEEP1572864:/4eEg/qbgHSOgcVTfuKWlNG7VGLHMlrMs:FBHSOgg4kGLHMlrMs
TLSHT1A5B81263E3489B1AC15652385FD7052BE9AF9D7023B3704CDD37376F0DBB6488A6A224
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
FileSize105488120
MD5951A2E23373DAB667736A7BB3F906DA3
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+~11.6.0.43~11.4.0-1
SHA-1177F122CA3023788197C21A370CC073D42B0AECF
SHA-256578868DA166FB65AA9625BD68E08588205E891193297164DE1AAE0BCEEF92EF3