managedCuda-wrapper for NVRTC, only for x64-platform.
CUDA Toolkit: 18.104.22.168
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.
Install-Package ManagedCuda-NVRTC.NETStandard -Version 9.1.300
dotnet add package ManagedCuda-NVRTC.NETStandard --version 9.1.300
<PackageReference Include="ManagedCuda-NVRTC.NETStandard" Version="9.1.300" />
paket add ManagedCuda-NVRTC.NETStandard --version 9.1.300
- ManagedCuda.NETStandard (>= 9.1.300)
NuGet packages (1)
Showing the top 1 NuGet packages that depend on ManagedCuda-NVRTC.NETStandard:
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.
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