Key | Value |
---|---|
FileName | ./usr/share/nvidia-cuda-toolkit/samples/3_Imaging/dct8x8/readme.txt |
FileSize | 412 |
MD5 | 63D2CD66839C3E551862139567650BC4 |
SHA-1 | 0131044B28BD6FED7D0893A01346D9A3EC698DAE |
SHA-256 | 023F22B18E70E284E5B20401F530477ACAC32E5382220AEBDACDDFBFC404126E |
SSDEEP | 6:dz0oY26jmEDbHnQTVe3AuMasREXRXN4+F6WLEfAVGeMl9DbMKlZY+P5AoVJ8ER9e:dz03QGbHkwwvqRXy+F6qeHbMK/NZSv |
TLSH | T10EE0F1679D941144CB5FC50791D6C2266B121338357D0FC1BC75856803D3D84343FF99 |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 5 |
hashlookup:trust | 75 |
The searched file hash is included in 5 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-tools-11.2.2-1-x86_64.pkg.tar.zst |
MD5 | 3C866038775294158C25594C03BCD1BC |
SHA-1 | FF7321217FF37D068C5AC3178FE1B2B5333E5EF2 |
SHA-256 | 4EC809EB710EC7467F43A5E807A63D9ED4CB4CFB5FF85A50C290D9FE22553AB8 |
SSDEEP | 12582912:wjcgxaR4yrt5gHsFRbokV6+1iHjsJ6IxISLjHeSXaHwyjvZYTxWJVOd2p:wjcgd87++mM6m0A0op+nHwyNImVOA |
TLSH | T106793350C242199DD8CBE038E986F3D8DEF537A5EC01FE9D9A71B6315263BD5ACA8C04 |
Key | Value |
---|---|
MD5 | 0B1F7506CE1FC5E91EBC9FD61F63B1D8 |
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 numerous CUDA code samples (formerly CUDA SDK). |
PackageMaintainer | ghibo <ghibo> |
PackageName | nvidia-cuda-toolkit-samples |
PackageRelease | 8.mga8.nonfree |
PackageVersion | 11.2.0 |
SHA-1 | 0F5590BDAA7040EE5A82A216CFC88E1C43C8EEC4 |
SHA-256 | 858433FB5D7BFFD3E84FA1EBD98496BDB7661A6544204409EFAC4EB4EA52C0BA |
Key | Value |
---|---|
MD5 | F108977205C2C7E9D927E90AFB7369F7 |
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 numerous CUDA code samples (formerly CUDA SDK). |
PackageMaintainer | umeabot <umeabot> |
PackageName | nvidia-cuda-toolkit-samples |
PackageRelease | 5.mga9.nonfree |
PackageVersion | 11.5.1 |
SHA-1 | 5371A4D336F2AC9BEAD5564B8C9F48D840AC9FCF |
SHA-256 | 00FE7FC6F9591E4525E8C664992462E60239E6D8E610DA43620758F06AEA7478 |
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 | AB8A000B2F20A6F469CAD25730579CC0 |
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 numerous CUDA code samples (formerly CUDA SDK). |
PackageMaintainer | ghibo <ghibo> |
PackageName | nvidia-cuda-toolkit-samples |
PackageRelease | 1.mga8.nonfree |
PackageVersion | 11.4.3 |
SHA-1 | 59A13D16CAFD47867A724EDB9102750AE5AA5BFD |
SHA-256 | E05DA37B80353C87126A5D999FB993283C249416CF16D533AA189E43C4F9E010 |