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
MD5	1ED0367B7B00B2F237322C9802691604
PackageArch	x86_64
PackageDescription	NVIDIA® 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.
PackageMaintainer	tmb <tmb>
PackageName	nvidia-cuda-toolkit-devel
PackageRelease	1.mga7.nonfree
PackageVersion	10.1.168
SHA-1	31156EB92A3DF9FAC474ED4648BFB34E2AD5DB7B
SHA-256	25364F2561589F83318703B65439EDC408F9E9A5C77ECCD5259FCA892B13BEA4

Key	Value
FileSize	420308420
MD5	FBAD3F84B31FE19A382ADE63A57BC3FF
PackageDescription	NVIDIA CUDA development files The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the development files: headers and libraries.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	nvidia-cuda-dev
PackageSection	non-free/libdevel
PackageVersion	10.1.243-3
SHA-1	CEB1F2E2BFDC6FAFBECED70BBC707D3E9F83E6F5
SHA-256	85B188B198C53BE4D24A9D706DCE2252D1D4D69592691C90D4BFD0CABC04F720

Key	Value
MD5	F16254696D0A9AC285261EB7EB027F84
PackageArch	x86_64
PackageDescription	NVIDIA® 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.
PackageMaintainer	wally <wally>
PackageName	nvidia-cuda-toolkit-devel
PackageRelease	1.2.mga7.nonfree
PackageVersion	10.1.168
SHA-1	E2E5A64DCE821EF177032E5A49E0CD80C135E2B6
SHA-256	7F897ADD351E92FE29C5D0B11D709A7335C88B876F9927F5D3140C50A9BABA98