Result for 007CE478B48A9CEE5A05A361A99CBA28DA1590BB

Query result

Key Value
FileName./usr/include/thrust/detail/complex/complex.inl
FileSize8397
MD5F7C1A2252442AAB58CE91D0A06B39F24
SHA-1007CE478B48A9CEE5A05A361A99CBA28DA1590BB
SHA-2564E50E2E57A8AC547A6701F355571F119F03D4E6B9E57838FAE5BB3E4F6FB5021
SSDEEP96:Wsse4M7HFEKM+TFEWj4ubUCnDAb3ihVccSpDPvCc60jnf3Bj1rZ+kZcw:vb7H2OqwtbUCnKIVcDWcpZcw
TLSHT14F02636848DCF2A3CB13B769F61A8239DB59311A7709C38125DC66B8ED11211B33F7E9
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD51ED0367B7B00B2F237322C9802691604
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains the development files needed to build programs that make use of CUDA.
PackageMaintainertmb <tmb>
PackageNamenvidia-cuda-toolkit-devel
PackageRelease1.mga7.nonfree
PackageVersion10.1.168
SHA-131156EB92A3DF9FAC474ED4648BFB34E2AD5DB7B
SHA-25625364F2561589F83318703B65439EDC408F9E9A5C77ECCD5259FCA892B13BEA4
Key Value
MD5F16254696D0A9AC285261EB7EB027F84
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains the development files needed to build programs that make use of CUDA.
PackageMaintainerwally <wally>
PackageNamenvidia-cuda-toolkit-devel
PackageRelease1.2.mga7.nonfree
PackageVersion10.1.168
SHA-1E2E5A64DCE821EF177032E5A49E0CD80C135E2B6
SHA-2567F897ADD351E92FE29C5D0B11D709A7335C88B876F9927F5D3140C50A9BABA98
Key Value
FileSize525512
MD569AF91B2B54523C0610D9DBF2EE3510F
PackageDescriptionThrust - Parallel Algorithms Library Thrust is a parallel algorithms library which resembles the C++ Standard Template Library (STL). Thrust's high-level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs. Interoperability with established technologies (such as CUDA, TBB, and OpenMP) facilitates integration with existing software.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibthrust-dev
PackageSectionlibdevel
PackageVersion1.9.5-1
SHA-1174C1B8509C80D8D057B27CE21BF8DAA7932CAF1
SHA-256AD34EEE14C52BCE36E2235D3829DC2E8E1E079201931C29464E28B727A73DFD6