Result for 8514F6B160E3BD1CE023A6A24C26DAC3204108D7

Query result

Key Value
FileName./usr/lib/i386-linux-gnu/libcusparse.so.6.0.37
FileSize34734932
MD54ECBCE015F5BBD7CF647971234505846
SHA-18514F6B160E3BD1CE023A6A24C26DAC3204108D7
SHA-256CB9B4F8649750EFD6ED125B8CAB096CFABA8A208B241B6FE262C7543D23B93E7
SSDEEP786432:nZD0SbzldFUpYUOk88mNCJ4VXUE3kF/fpr5MvYKsuRF8clz/1M2:nZD0SbzlQpWymNCLaU/xr5vKsu3b
TLSHT1D5771242E51BF4B2EF7B5530528FF53FC922902598415CD1DD8A8F08A12BEA76A09F37
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
FileSize29723754
MD59E90C5E11A806826FABC8344F0CE0607
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>
PackageNamelibcusparse6.0
PackageSectionnon-free/libs
PackageVersion6.0.37-5
SHA-117693B968696E1AA68894D7CD921B5D9C7C2B9F4
SHA-25698A9FA103410973EE600655C668D38E872C374C69B65380EE141356E08E5974C