Result for 0287F0561310608C6AC6FAE8339AFDD1A4BDF975

Query result

Key Value
FileName./usr/share/nvidia-cuda-toolkit/samples/0_Simple/simpleSurfaceWrite/simpleSurfaceWrite.cu
FileSize11036
MD51FF2A0174D3196145FC752AC98115415
SHA-10287F0561310608C6AC6FAE8339AFDD1A4BDF975
SHA-2563E6B59439D34D5B5A72F2CD32608912DCA19B73F38C5ED2C4BA155B7FBC5E65A
SSDEEP192:rQ//gZu/T+Q6ryfA/y6VYjWjGGw4TuoqZbafR81:s3gM/Ta/yIYjeJNqoqqR81
TLSHT1D332A5081A7A0121897353929F8B414E57B7C22B3348FD1574CEB2422FD96AEB0F5BE7
tar:gnameroot
tar:unameroot
hashlookup:parent-total7
hashlookup:trust85

Network graph view

Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5BBCC3B83FC0D6A7445D1BFD5D60A7C30
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 numerous CUDA code samples (formerly CUDA SDK).
PackageMaintainerwally <wally>
PackageNamenvidia-cuda-toolkit-samples
PackageRelease1.2.mga7.nonfree
PackageVersion10.1.168
SHA-1B7849B54827B40E5EDE23442BE4FA8E81469EA8F
SHA-2569804C6498970CA54F95A6A5A083B0DC7D293A0C699608BB65731BF7265BCA9A6
Key Value
MD55263491108C084801CD43EEA077F1409
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 numerous CUDA code samples (formerly CUDA SDK).
PackageMaintainertmb <tmb>
PackageNamenvidia-cuda-toolkit-samples
PackageRelease1.mga7.nonfree
PackageVersion10.1.168
SHA-1F469BAAA0D3E190716B66B9D312BD4622F445DA5
SHA-256FEA96096F66373C5E67B2C818C4D276855AA6AA8ABFE7BAD0348171DE2D4C07B
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//cuda-tools-11.2.2-1-x86_64.pkg.tar.zst
MD53C866038775294158C25594C03BCD1BC
SHA-1FF7321217FF37D068C5AC3178FE1B2B5333E5EF2
SHA-2564EC809EB710EC7467F43A5E807A63D9ED4CB4CFB5FF85A50C290D9FE22553AB8
SSDEEP12582912:wjcgxaR4yrt5gHsFRbokV6+1iHjsJ6IxISLjHeSXaHwyjvZYTxWJVOd2p:wjcgd87++mM6m0A0op+nHwyNImVOA
TLSHT106793350C242199DD8CBE038E986F3D8DEF537A5EC01FE9D9A71B6315263BD5ACA8C04
Key Value
MD50B1F7506CE1FC5E91EBC9FD61F63B1D8
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 numerous CUDA code samples (formerly CUDA SDK).
PackageMaintainerghibo <ghibo>
PackageNamenvidia-cuda-toolkit-samples
PackageRelease8.mga8.nonfree
PackageVersion11.2.0
SHA-10F5590BDAA7040EE5A82A216CFC88E1C43C8EEC4
SHA-256858433FB5D7BFFD3E84FA1EBD98496BDB7661A6544204409EFAC4EB4EA52C0BA
Key Value
MD5F108977205C2C7E9D927E90AFB7369F7
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 numerous CUDA code samples (formerly CUDA SDK).
PackageMaintainerumeabot <umeabot>
PackageNamenvidia-cuda-toolkit-samples
PackageRelease5.mga9.nonfree
PackageVersion11.5.1
SHA-15371A4D336F2AC9BEAD5564B8C9F48D840AC9FCF
SHA-25600FE7FC6F9591E4525E8C664992462E60239E6D8E610DA43620758F06AEA7478
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//cuda-11.2.0-3-x86_64.pkg.tar.zst
MD583FA6E402D6972F84A2BABAC35A7595E
SHA-1DD2B9A52747FA1481CDF63B01B46DA8CD03D9FB4
SHA-25607F3B110FB959AA67277A811B3A83260EAC024CB9674A216B9E6D6B1997D4162
SSDEEP25165824:8MRKpbzo4KUwG8cstVnoVm4ItkoxARQ1I5AIBNVSrJ6KJnYfCptg:8UaUjUwPc62mntJuR159s3JnM
TLSHT1CCE933941051CDDCC92BA5B7274F2994E5039CF2FAE437B19735B4AB22329D2CA01E9F
Key Value
MD5AB8A000B2F20A6F469CAD25730579CC0
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 numerous CUDA code samples (formerly CUDA SDK).
PackageMaintainerghibo <ghibo>
PackageNamenvidia-cuda-toolkit-samples
PackageRelease1.mga8.nonfree
PackageVersion11.4.3
SHA-159A13D16CAFD47867A724EDB9102750AE5AA5BFD
SHA-256E05DA37B80353C87126A5D999FB993283C249416CF16D533AA189E43C4F9E010