Key | Value |
---|---|
FileName | ./usr/share/nvidia-cuda-toolkit/samples/3_Imaging/dxtc/data/lena_std.ppm |
FileSize | 786447 |
MD5 | 34AFDEB3527DDE7E070DDF6CED346131 |
SHA-1 | 0150EA71604062B7C67A88F061DB35019007DA74 |
SHA-256 | BE31E7AA1FEA4A6D6E2CBB625FB7C13E9A4AD91A0C3FCFEE6A9CF689B4841D6B |
SSDEEP | 24576:iCdQVaDNpcDLQIwxLe0UZOk5K6NcQsgdynj0o:i3M8nwxLe0UoOfWH |
TLSH | T111F42377012F8AAEEACBB214D06598972DE5F6471268967BF5E164B8F49C402CC0E7F0 |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 7 |
hashlookup:trust | 85 |
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 |
---|---|
MD5 | BBCC3B83FC0D6A7445D1BFD5D60A7C30 |
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 | wally <wally> |
PackageName | nvidia-cuda-toolkit-samples |
PackageRelease | 1.2.mga7.nonfree |
PackageVersion | 10.1.168 |
SHA-1 | B7849B54827B40E5EDE23442BE4FA8E81469EA8F |
SHA-256 | 9804C6498970CA54F95A6A5A083B0DC7D293A0C699608BB65731BF7265BCA9A6 |
Key | Value |
---|---|
MD5 | 5263491108C084801CD43EEA077F1409 |
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 | tmb <tmb> |
PackageName | nvidia-cuda-toolkit-samples |
PackageRelease | 1.mga7.nonfree |
PackageVersion | 10.1.168 |
SHA-1 | F469BAAA0D3E190716B66B9D312BD4622F445DA5 |
SHA-256 | FEA96096F66373C5E67B2C818C4D276855AA6AA8ABFE7BAD0348171DE2D4C07B |
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 |