Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//cuda-11.2.2-1-x86_64.pkg.tar.zst
MD5	D09C41AF589A44BF48461C7E44D2435B
SHA-1	473C53E534146994D06AC93EF967F6FC704FBAE4
SHA-256	F3761DFFD340FE1F295B42F5854EB4B94D1579D8FFE2164E51A6CC987384CE91
SSDEEP	25165824:R/SGOR6cMBlmHlMWy0P9NggsklmeCBxbg8G6eckEid0KmI9V6s2s0Du:R/SvRyBlmFcSplmzBx08ickEwmGV/wu
TLSH	T1F7D933E4E815DA14E12D653765D37926B1238EE9B346C388873BF40366B18E9F137C2B

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//cuda-11.2.0-3-x86_64.pkg.tar.zst
MD5	83FA6E402D6972F84A2BABAC35A7595E
SHA-1	DD2B9A52747FA1481CDF63B01B46DA8CD03D9FB4
SHA-256	07F3B110FB959AA67277A811B3A83260EAC024CB9674A216B9E6D6B1997D4162
SSDEEP	25165824:8MRKpbzo4KUwG8cstVnoVm4ItkoxARQ1I5AIBNVSrJ6KJnYfCptg:8UaUjUwPc62mntJuR159s3JnM
TLSH	T1CCE933941051CDDCC92BA5B7274F2994E5039CF2FAE437B19735B4AB22329D2CA01E9F

Key	Value
FileSize	159400
MD5	6A070120E5EA25D3FD4B1B7DD880D52F
PackageDescription	reusable software components for the CUDA programming model CUB provides state-of-the-art, reusable software components for every layer of the CUDA programming model: * Parallel primitives * Warp-wide "collective" primitives * Block-wide "collective" primitives * Device-wide primitives * Utilities * Fancy iterators * Thread and thread block I/O * PTX intrinsics * Device, kernel, and storage management
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	libcub-dev
PackageSection	libdevel
PackageVersion	1.9.10-1-1
SHA-1	501C3F94913160053F19A0609BAE50F78F0681A8
SHA-256	25C7D56EF619DEF99B195276CF44757DADF8BAFCAC2CF7B25B5783B21D65908C

Key	Value
MD5	705565019EB5D8FC4D109A518FE3A6EE
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	ghibo <ghibo>
PackageName	nvidia-cuda-toolkit-devel
PackageRelease	8.mga8.nonfree
PackageVersion	11.2.0
SHA-1	AC73B7C9D73A35B244AAD63A0949EAD0E9A800D5
SHA-256	1FF9273A4802E977FCF1911F9293F3176BE5B7B5B1D10F838DA6AD12CD24CD39