Result for E9271311A1042AAF31F7F0B31F66158671CB7F84

Query result

Key Value
FileName./usr/lib/x86_64-linux-gnu/libcusparse.so.6.0.37
FileSize37856504
MD5A49FDE538C94957E87B56ADC8350F86A
SHA-1E9271311A1042AAF31F7F0B31F66158671CB7F84
SHA-25600383BEE04AFDAC4D3EC65AD17D08D8E88350AFFB0F6A398386D5F60D2C996C1
SSDEEP786432:e2EY2YYTbKqwj4VJs+fjkOBDslGS+yxs3ygkqeu7vmrO7eVuq/b6lVRW3a+Su:efjKxj0FY2DLws3yguqyuwGg
TLSHT10D871243EEE7358DEE9CC274C66F1232AE34749402793A59CE74D2303B6FE114725A6A
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
FileSize32800560
MD5AFA931DDB059BBA2CAA10BDC69993CB1
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-175C215F834CBA5891D2312FF6FA1CF75CC73F9E9
SHA-256AF7464CD6D09E1DC26ADC7B7A2B2C4479A3394879FAF5FE3B64456EC9B5A80FB