Result for 09C27F0CED7244E8ECE3AB043BF8AA3028CC2927

Query result

Key Value
FileNamesnap-hashlookup-import/bower_components/google-prettify/loader/lang-vhdl.js
FileSize2035
MD53F58E1A87B363786BFCF32CBB390BFEC
RDS:package_id241018
SHA-109C27F0CED7244E8ECE3AB043BF8AA3028CC2927
SHA-256A34347F02BBCFE80E4783C09753804E1868F964D93F5D12FDAA4E952D2FAEFC2
SHA-512DC5F69C3A548BC0B0DCAD27900ED716EE5AF5645E0DCF5D13AE4879EF0659D8A2FAA3C0BBE29726B6357551B526F5DB3C584377A0A51207E4AD26E6660382666
SSDEEP48:K4Yh0ehzH31c6dkHvJK3WkHyPZhx03etpntFiMWZ1RW7G:K4IPzHFc6i1ZhxIZPp
TLSHT17941967D5560093347CA36557E1EC84A939E10EA324F42E0E389DCD64258D1FC9B62E2
insert-timestamp1727104501.288994
mimetypetext/plain
sourcesnap:EJsZZIeJnp5QrBZIlDyf354wsa8xJ7Yc_6
tar:gnameroot
tar:unameroot
hashlookup:parent-total33
hashlookup:trust100

Network graph view

Parents (Total: 33)

The searched file hash is included in 33 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD50786BCFB8FCAFB8AE929567E34C32F3F
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 Nsight Eclipse Edition, a full-featured CUDA IDE.
PackageMaintainerumeabot <umeabot>
PackageNamenvidia-nsight
PackageRelease5.mga9.nonfree
PackageVersion11.5.1
SHA-10E90AF8A2A1DD970E3F78C0EA62FD91B3D2D1DB9
SHA-256BA411B939DA19657DD684D40D5863A587A782B8BC0A20724316A273F432E2242
Key Value
FileSize102360536
MD5635AC90C5D3CE46ADAF9A5BE7C3EA481
PackageDescriptionNVIDIA CUDA and OpenCL documentation The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . This package contains the developer documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamenvidia-cuda-doc
PackageSectionnon-free/doc
PackageVersion10.1.243-3
SHA-11504BBB3174DF439978AE751C00442210DBF4FAE
SHA-256935F42BDE317E8D7A1C8AE810BF9C753859E8239DA072337789AFBC9886A4A8A
Key Value
FileSize2343216
MD562997BFFA3216DDAD271866D4C71A7A2
PackageDescriptionNVIDIA CUDA Profiler Tools Interface documentation The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the documentation and examples.
PackageMaintainerDebian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageNamelibcupti-doc
PackageSectionnon-free/doc
PackageVersion11.4.100~11.4.1-1
SHA-11755DE6BF425CA981242BE9F7F4F1204FA61569B
SHA-25653326012C1EFDAB0C667C61F7F36E8A6DB95601D94F7985FA7277E5A1D2B54E8
Key Value
FileSize4243560
MD54C8A39B42C383F83D0B2278D3502E0C2
PackageDescriptionNVIDIA CUDA and OpenCL documentation The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . Note that CUDA documentation is no longer bundled with CUDA toolkit releases. Visit https://docs.nvidia.com/cuda for the latest documentation on CUDA.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamenvidia-cuda-toolkit-doc
PackageSectionnon-free/doc
PackageVersion11.2.2-1ubuntu1
SHA-1222264F166EFD3D5B5592CB777EC839796BFB1CB
SHA-256ED8E65A2D43CB2FAC5FC940ADBEF3D40C5546C0C9F12D53CDAF7091A82CE0637
Key Value
FileSize2236636
MD5B6344A08E9FA3F36F1ACA09407814A3B
PackageDescriptionNVIDIA CUDA Profiler Tools Interface documentation The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the documentation and examples.
PackageMaintainerDebian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageNamelibcupti-doc
PackageSectionnon-free/doc
PackageVersion11.2.152~11.2.2-2~bpo10+1
SHA-12E5D730E279CC2F32F6E9950EB173B42A021B962
SHA-25633AB0CEF2C802CD9C640F41C9502FD8EB6EC43A61A30AB65A8BE1EB3C03DBCCC
Key Value
FileSize4255672
MD5A95F6E7815ACCE50225AFE9FCD55AE6C
PackageDescriptionNVIDIA CUDA and OpenCL documentation The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . Note that CUDA documentation is no longer bundled with CUDA toolkit releases. Visit https://docs.nvidia.com/cuda for the latest documentation on CUDA.
PackageMaintainerDebian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageNamenvidia-cuda-toolkit-doc
PackageSectionnon-free/doc
PackageVersion11.2.2-2~bpo10+1
SHA-134171E055F65CB95F1D4C30B12EF3B6FB56A9665
SHA-2561D942ED6450DBFAFE3C29073907BB2F5E8B13B169365AC589D7EF65D8F994858
Key Value
FileSize6127136
MD5EF6F13645E5F104983CA3C979CCFC1BC
PackageDescriptionNVIDIA CUDA and OpenCL documentation The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . Note that CUDA documentation is no longer bundled with CUDA toolkit releases. Visit https://docs.nvidia.com/cuda for the latest documentation on CUDA.
PackageMaintainerDebian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageNamenvidia-cuda-toolkit-doc
PackageSectionnon-free/doc
PackageVersion11.3.1-4
SHA-13FF67ACEBD69CA989410B06A672FA70FD0DE76CE
SHA-256CC7FAD097687ECCC42C2DDF180837A360C6CA649A80371C37BC9AD56245E60DA
Key Value
MD5D7C5DE793CF5CAA12C99466428B9AFEE
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 Nsight Eclipse Edition, a full-featured CUDA IDE.
PackageMaintainerghibo <ghibo>
PackageNamenvidia-nsight
PackageRelease2.mga9.nonfree
PackageVersion11.8.0
SHA-1413B1589F7AF8A874B15DEEACD8F37D17547DA85
SHA-256F04A4109ED0841E5184D4E7E2DC97BB84567EE0B6494DE729F1916B150D4942F
Key Value
MD577288B73382A811C17BC6C534D5AF84B
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 the development files needed to build programs that make use of CUDA.
PackageMaintainerghibo <ghibo>
PackageNamenvidia-cuda-toolkit-devel
PackageRelease1.mga8.nonfree
PackageVersion11.4.3
SHA-146264026A5D578719AAE3BFEAFE22728CD9A8415
SHA-256B8ADE1366CCC1BA26385FE8AE67C95752A589F1A269D30D6DE4E7DEC9A3B5B42
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//cuda-11.2.2-1-x86_64.pkg.tar.zst
MD5D09C41AF589A44BF48461C7E44D2435B
SHA-1473C53E534146994D06AC93EF967F6FC704FBAE4
SHA-256F3761DFFD340FE1F295B42F5854EB4B94D1579D8FFE2164E51A6CC987384CE91
SSDEEP25165824:R/SGOR6cMBlmHlMWy0P9NggsklmeCBxbg8G6eckEid0KmI9V6s2s0Du:R/SvRyBlmFcSplmzBx08ickEwmGV/wu
TLSHT1F7D933E4E815DA14E12D653765D37926B1238EE9B346C388873BF40366B18E9F137C2B