Parents (Total: 10)

The searched file hash is included in 10 parent files which include package known and seen by metalookup. A sample is included below:

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

Key	Value
MD5	FD28072790076BF1F425957752994C20
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	2.mga9.nonfree
PackageVersion	11.8.0
SHA-1	86634BAD2A7454730FA205ED35C51C82810E1174
SHA-256	9FE4A61C84FA09B8638CFF7A50881F8A929B29D91251839496BE82EE7A8E635D

Key	Value
MD5	77288B73382A811C17BC6C534D5AF84B
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	1.mga8.nonfree
PackageVersion	11.4.3
SHA-1	46264026A5D578719AAE3BFEAFE22728CD9A8415
SHA-256	B8ADE1366CCC1BA26385FE8AE67C95752A589F1A269D30D6DE4E7DEC9A3B5B42

Key	Value
MD5	425C54152B3D95819BDD8DC517787C85
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	umeabot <umeabot>
PackageName	nvidia-cuda-toolkit-devel
PackageRelease	5.mga9.nonfree
PackageVersion	11.5.1
SHA-1	A44E5A1C69FF5267C087BF8A62AB04D3A421DE98
SHA-256	5EDD5A094884E54B429ABBE67ABA5557568CED417026187C1E8D1EC84F7A3857

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
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
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

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
FileSize	61530810
MD5	D4879ED52DD31EA361C00FCB2CD8DCDA
PackageDescription	NVIDIA CUDA and OpenCL documentation The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . This package contains the developer documentation.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	nvidia-cuda-doc
PackageSection	non-free/doc
PackageVersion	5.5.22-3ubuntu1
SHA-1	215E0D825FE11FD61185D3072273D31496A8C493
SHA-256	9E9DB4B89FF5A41295E592C442043008BDBAF9E462B4C30B1574C0B90671899D

Key	Value
MD5	D7C5DE793CF5CAA12C99466428B9AFEE
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 Nsight Eclipse Edition, a full-featured CUDA IDE.
PackageMaintainer	ghibo <ghibo>
PackageName	nvidia-nsight
PackageRelease	2.mga9.nonfree
PackageVersion	11.8.0
SHA-1	413B1589F7AF8A874B15DEEACD8F37D17547DA85
SHA-256	F04A4109ED0841E5184D4E7E2DC97BB84567EE0B6494DE729F1916B150D4942F