Result for 177E2D0203A50DF796B494CD54CD52845EF04CED

Query result

Key Value
FileName./usr/include/cupti_target.h
FileSize1259
MD5F812B45296B09B2B2DA866C3CDFA46E3
SHA-1177E2D0203A50DF796B494CD54CD52845EF04CED
SHA-2560A3A4837B3CAE75A840268B6EF878876E6C3B33980B2D63A96CCD2B4732538DF
SSDEEP24:uIAoJ7x5Yjqf4n8afWbXVOxOOGzmyNOoXOfUO80NGO/a34n8yHK:uI1D86loPGzfEoet80nW83K
TLSHT1B0212330A9DBADE07113A0521F8D069240D9E6EB7BA084B1F7AFD36C1F0DF2050B5954
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
FileSize4778932
MD5A4A269B4E2582D85E4145C35769C8AA6
PackageDescriptionNVIDIA CUDA Profiler Tools Interface development files The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the development files: headers and libraries.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibcupti-dev
PackageSectionnon-free/libdevel
PackageVersion10.1.243-3
SHA-1AED7AA403DCC38E23C41D36002A587405B1E7E1F
SHA-2564B2D15F11167A42193CC453FB30FCF867434D2F4B01687DED54FBECF81A1605F