Result for 97D9DA3FD415A1D2A859300D6132DD29BF47C5C2

Query result

Key Value
FileName./usr/lib64/libspqr.so.2.0.9
FileSize203792
MD5D2494B35F257A7EAD69B767E9F1338DA
SHA-197D9DA3FD415A1D2A859300D6132DD29BF47C5C2
SHA-2568B563C7E9F4A619272F622A555A6872F54EA24327828BBE968CB7FA8BA6E8912
SSDEEP3072:PfKiEeO9M4g9ygLIZsoExs2vheqUKaHXAj4/ROrCRf8:3hEeOOPyqIZKG2yKAX38rE8
TLSHT18C141A57F1B250ECC1E6C9B48B5B71677A6078189035773ABA89C7303AB6F20B62F711
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
MD5EA7EDE92F2B78EFEF4A13037B38DA5F5
PackageArchx86_64
PackageDescriptionSuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageNamelibspqr2
PackageRelease85.70
PackageVersion2.0.9
SHA-1535B31A01EDC97DC18547101E05B0C242E0D38E9
SHA-25673B72500F09F8738A45192F9894127A25FE46FA50CF328B2691BA4B320A9D675