ManagedCuda-NVRTC.NETStandard 9.1.1-preview2

managedCuda-wrapper for NVRTC, only for x64-platform.
     This package is an unofficial port of ManagedCUDA to .NET Standard 2.0 and was tested
     on Linux and Windows (x64). It requires NVIDIA GPU driver 387.92 or higher.

     This package contains components that are property of Nvidia Corporation and redistributed
     according to the "CUDA Supplement to Software License Agreement" of the
     "NVIDIA Software License Agreement". See the package license for details.

This is a prerelease version of ManagedCuda-NVRTC.NETStandard.
There is a newer version of this package available.
See the version list below for details.
Install-Package ManagedCuda-NVRTC.NETStandard -Version 9.1.1-preview2
dotnet add package ManagedCuda-NVRTC.NETStandard --version 9.1.1-preview2
<PackageReference Include="ManagedCuda-NVRTC.NETStandard" Version="9.1.1-preview2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add ManagedCuda-NVRTC.NETStandard --version 9.1.1-preview2
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on ManagedCuda-NVRTC.NETStandard:

Package Downloads
Tensor (n-dimensional array) library for F# Core features: - n-dimensional arrays (tensors) in host memory or on CUDA GPUs - element-wise operations (addition, multiplication, absolute value, etc.) - basic linear algebra operations (dot product, SVD decomposition, matrix inverse, etc.) - reduction operations (sum, product, average, maximum, arg max, etc.) - logic operations (comparision, and, or, etc.) - views, slicing, reshaping, broadcasting (similar to NumPy) - scatter and gather by indices - standard functional operations (map, fold, etc.) Data exchange: - read/write support for HDF5 (.h5) - interop with standard F# types (Seq, List, Array, Array2D, Array3D, etc.) Performance: - host: SIMD and BLAS accelerated operations - by default Intel MKL is used (shipped with NuGet package) - other BLASes (OpenBLAS, vendor-specific) can be selected by configuration option - CUDA GPU: all operations performed locally on GPU and cuBLAS used for matrix operations Requirements: - Linux, MacOS or Windows on x64 - Linux requires installed. Additional algorithms are provided in the Tensor.Algorithm package.

GitHub repositories

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Version History

Version Downloads Last updated
9.1.300 3,304 5/5/2018
9.1.3-preview1 449 5/4/2018
9.1.1-preview4 414 5/4/2018
9.1.1-preview3 404 5/3/2018
9.1.1-preview2 397 5/3/2018