Result for E32FD5D7FFB5734E3135D0F7DB0405E62DEBED9F

Query result

Key Value
FileName./usr/lib/mips-linux-gnu/libCombBLAS.so.1.16.0
FileSize106268
MD5BAC95110649A1BB91A56F4DCA074DF96
SHA-1E32FD5D7FFB5734E3135D0F7DB0405E62DEBED9F
SHA-256060D6CF0B74D5DB95CFC97EF4774D4E9A559F31E0A62F4495CA9FACD04142CC9
SSDEEP1536:n4BBr3ALXJzjxhH4o54yCtcfoBS97VmgWOqGpBbUQDE5GBDSRg+q3vhiJDegjx43:nIr3OjxhH4o54yCtJBlWVBKxAFpx/
TLSHT1D5A30A1B7B008E3DE189D6B45AA3C7D233DA19D23588050DB119E35D2FE5ACE682EFD4
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize280172
MD5E16FA883770C964E3D296BC0A0192DE4
PackageDescriptionan extensible parallel graph library for graph analytics The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics. . - The Combinatorial BLAS development influences the Graph BLAS standardization process. - It achieves scalability via its two dimensional distribution and coarse-grained parallelism. - CombBLAS powers HipMCL, a highly-scalable parallel implementation of the Markov Cluster Algorithm (MCL). - Operations among sparse matrices and vectors use arbitrary user defined semirings. . This package provides the combblas shared library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibcombblas1.16.0
PackageSectionlibs
PackageVersion1.6.2-3
SHA-17F5714A93D617A1900B5578D8DAAAA449AEF9838
SHA-256D17CD9E53381725ADF0058BF0A0B992F09B335D49D9B84E0E1FF572629C86B37