Result for DC758B713AE0302E83743EEE8ECC10F64CF74923

Query result

Key Value
FileName./usr/lib/i386-linux-gnu/libUsortlib.so.CombBLAS_1.16.0
FileSize84228
MD5EA6A315FCF33FEA9537145345296EBCE
SHA-1DC758B713AE0302E83743EEE8ECC10F64CF74923
SHA-2566B46A42979EDD7FC629D2C6E6699CDDEDEE286DB688EA20AEFA720BB7CA36925
SSDEEP768:yWVsULXJtdVUmY/lmC8sxJhPr8wRKfTRlHCcpQp3pffb9P3zDkkzCtWt/xFse52q:yOjLXJtJsxE8KtXWp3pV3BzCtWtpF
TLSHT11683C747F309D130F5DBC879459BC3FAA24069C5524393A3B60E7BAC69BB6C5ED0A390
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
FileSize282008
MD5C9B9BD068A8E65938F9F98C6EA7F8B3E
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
PackageVersion1.6.2-6
SHA-117E1DA3B24FEA739D6CEE065A897DBCA72DDACC1
SHA-256FA68B2678D6912BE9B18642177DFEA68EB7626EB9BD5B2E3B39FB8C3235D5046