Key | Value |
---|---|
FileName | ./usr/share/nvidia-cuda-toolkit/samples/Samples/2_Concepts_and_Techniques/scalarProd/.vscode/launch.json |
FileSize | 214 |
MD5 | EB65CE1CCCED7E04A23BCE9AE2DBED4B |
SHA-1 | 00A4FB2D25808DC63509A2F428B58292F7782CC1 |
SHA-256 | 96EEAE4C4D1E35E08419195D6AB84C2F103E7639650E5E121B51813CB7A7317D |
SSDEEP | 3:VKLAIM7GQ/JhifFpLIfFrc8fkUYJdF/Ft2VLYJfFvXzHqSMCS2XYNFEX1ap/N0r:VQAIyU/LhkYJ+VknKQS2XaEX1ap/qr |
TLSH | T117D080AAC9141E1701DD6949154C875144105587D9447C09B66E494C8F4CC3E1D3614C |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
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 |
---|---|
MD5 | D566941D58BC0091A2F04341CE780038 |
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 | 2.mga9.nonfree |
PackageVersion | 11.8.0 |
SHA-1 | 84748E895DC6F18E5FA3B10004D26D5E45B2A80A |
SHA-256 | 897C8493AE248BC449EC92D3DF7E6AB45495F6341B7CF1FD874B57DF2E6A4E22 |
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 |