Result for 00C3B2C01D3E7C70B51FFDFDFA6087B0C2D6B8DF

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/debian_2libcombblas-dev_2usr_2include_2CombBLAS_2MemoryPool_8h__dep__incl.dot.gz
FileSize1335
MD58D5A84BF3AA19973C4BA8C3CBF6F6A23
SHA-100C3B2C01D3E7C70B51FFDFDFA6087B0C2D6B8DF
SHA-25648419E1DDBCA5A653D61411363C05C7CD2918717C842438684FE9B83E324D15C
SSDEEP24:Xt/CZ6QSKVJqCycic7emXBkxbSNEUDC/7wKfLtrSAyM3q+QIgZ:XkZBSKVYlcn7vXutwKxOVM3rQlZ
TLSHT1662108636C5CB611977DCBE5F9E94966576183497832C0E8828004CB4A3E3231BE26BA
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
FileSize3014160
MD5F2AF3CBBB70D81E313F1A627EECC5144
PackageDescriptionan extensible parallel graph library for graph analytics (docs) 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 full HTML documentation for the CombBLAS API.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibcombblas-docs
PackageSectionlibdevel
PackageVersion1.6.2-3
SHA-1E49F9864A82A3D512DDFB90677EF0ABD2E1F8BA0
SHA-25624CBEC3BC71612805223CFD49932975D76C4E823A3551488CDCB8E103A8EB564