ManagedCuda-NVRTC.NETStandard 9.1.300

dotnet add package ManagedCuda-NVRTC.NETStandard --version 9.1.300
NuGet\Install-Package ManagedCuda-NVRTC.NETStandard -Version 9.1.300
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="ManagedCuda-NVRTC.NETStandard" Version="9.1.300" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add ManagedCuda-NVRTC.NETStandard --version 9.1.300
#r "nuget: ManagedCuda-NVRTC.NETStandard, 9.1.300"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install ManagedCuda-NVRTC.NETStandard as a Cake Addin
#addin nuget:?package=ManagedCuda-NVRTC.NETStandard&version=9.1.300

// Install ManagedCuda-NVRTC.NETStandard as a Cake Tool
#tool nuget:?package=ManagedCuda-NVRTC.NETStandard&version=9.1.300

managedCuda-wrapper for NVRTC, only for x64-platform.

     CUDA Toolkit: 9.1.85.3
     Minimum NVIDIA GPU driver: 387.92

     This package is an unofficial port of ManagedCUDA to .NET Standard 2.0 and was tested
     on Linux and Windows (x64).
     
     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.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

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

Package Downloads
Tensor

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 libgomp.so.1 installed. Additional algorithms are provided in the Tensor.Algorithm package.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
9.1.300 17,296 5/5/2018
9.1.3-preview1 877 5/4/2018
9.1.1-preview4 818 5/4/2018
9.1.1-preview3 816 5/3/2018
9.1.1-preview2 807 5/3/2018