Result for 014AC8C1D7F7DF45A7F3B9DAF61D2F0F2DFB28EB

Query result

Key Value
FileName./usr/include/thrust/detail/util/blocking.h
FileSize804
MD5CFBBC8A05BC9BC378997355D4CBC805F
SHA-1014AC8C1D7F7DF45A7F3B9DAF61D2F0F2DFB28EB
SHA-2569357D252261A3F8B444F596CA4FF50B08640E4C3CB6ED127706FB71F0B83AF37
SSDEEP24:WJkjo4IVhfCU0E+o9HQk10psU7gvM6tk6VdXdf:WJkM4ut0e9H31EkNV9N
TLSHT12101CE3D29841BB74B8389B23E0FA0DFA616D15F3146578A345A81B04B384DA51F9DB1
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