Result for 00A4FB2D25808DC63509A2F428B58292F7782CC1

Query result

Key Value
FileName./usr/share/nvidia-cuda-toolkit/samples/Samples/2_Concepts_and_Techniques/scalarProd/.vscode/launch.json
FileSize214
MD5EB65CE1CCCED7E04A23BCE9AE2DBED4B
SHA-100A4FB2D25808DC63509A2F428B58292F7782CC1
SHA-25696EEAE4C4D1E35E08419195D6AB84C2F103E7639650E5E121B51813CB7A7317D
SSDEEP3:VKLAIM7GQ/JhifFpLIfFrc8fkUYJdF/Ft2VLYJfFvXzHqSMCS2XYNFEX1ap/N0r:VQAIyU/LhkYJ+VknKQS2XaEX1ap/qr
TLSHT117D080AAC9141E1701DD6949154C875144105587D9447C09B66E494C8F4CC3E1D3614C
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

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
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
MD5D566941D58BC0091A2F04341CE780038
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
PackageRelease2.mga9.nonfree
PackageVersion11.8.0
SHA-184748E895DC6F18E5FA3B10004D26D5E45B2A80A
SHA-256897C8493AE248BC449EC92D3DF7E6AB45495F6341B7CF1FD874B57DF2E6A4E22
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