Result for 0003BC548AA7942630054ECC7C651E5BD259CB49

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/structcombblas_1_1promote__trait_3_01SpDCCols_3_01IT_00_01NT_01_4_00_01SpDCCols_3_01IT_00_01boole2ca9967d1295e7117483774828e5d1b.html
FileSize12889
MD51B5C77115D27750C442E4DD07BAA0553
SHA-10003BC548AA7942630054ECC7C651E5BD259CB49
SHA-256FD97E08E16F5EA65738A62A4A735C92A0DD86DBB97E28B5A00C19F2FA3595D79
SSDEEP192:w6tukDoHn8Wzc0TQ9PO9VCZ0absBKp+KpfKpFn2qM:bLDoHnxQ9PO9YDT5oFw
TLSHT1C742852A88D240B3C0D371E2E6A5BBF8F3EECB12E249444175FD59EA2359FD5D213906
hashlookup:parent-total1
hashlookup:trust55

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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
FileSize157111108
MD57BA7D5E9EFEDEB43D2003C9B3299BCD2
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
PackageVersion1.6.2-5build1
SHA-16AFEFB33B02CD2286649B82D028589EA9DD2895B
SHA-2565B56A5ECAF10523700DE333CFAE9A67C1D7DD74A4D77210FA54E0B7D00C82B38