Cortex.GPU 1.1.0

.NET 10.0 This package targets .NET 10.0. The package is compatible with this framework or higher. 
dotnet add package Cortex.GPU --version 1.1.0
                    


                    

                
NuGet\Install-Package Cortex.GPU -Version 1.1.0
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="Cortex.GPU" Version="1.1.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Cortex.GPU" Version="1.1.0" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="Cortex.GPU" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add Cortex.GPU --version 1.1.0
                    


                    

                
#r "nuget: Cortex.GPU, 1.1.0"
#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. 
#:package Cortex.GPU@1.1.0
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=Cortex.GPU&version=1.1.0
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=Cortex.GPU&version=1.1.0
                    


                            Install as a Cake Tool

Cortex.GPU

ILGPU-based GPU acceleration for Cortex with CUDA, OpenCL, and CPU fallback.

Part of the Cortex data science ecosystem for .NET.

Requires .NET 10+ and the Cortex core package. GPU support requires CUDA or OpenCL drivers; falls back to CPU automatically.

Features

  • GPU-accelerated operations — element-wise math, aggregations, and matrix ops on the GPU
  • Multi-backend — CUDA, OpenCL, and CPU fallback via ILGPU
  • Automatic device selection — picks the best available accelerator
  • DataFrame integration — drop-in GPU acceleration for Cortex operations
  • Custom kernels — write your own ILGPU kernels over DataFrame columns

Installation

dotnet add package Cortex.GPU

Quick Start

using Cortex;
using Cortex.GPU;

var df = DataFrame.ReadCsv("large_dataset.csv");

// Enable GPU acceleration
using var gpu = new GpuContext();
var result = gpu.Accelerate(df)
    .Select("col1 * col2 + col3")
    .Sum("result");

Console.WriteLine($"Sum: {result}");

GPU Matrix Operations

// Automatic device selection (CUDA > OpenCL > CPU)
var corr = df.GpuCorr();
var dist = X.GpuPairwiseDistances(Y);
var product = A.GpuMatMul(B);
Package Description
Cortex Core DataFrame (required)
Cortex.ML.Torch TorchSharp GPU training for neural networks
Cortex.ML Classical ML with BLAS acceleration
Product Compatible and additional computed target framework versions.
.NET net10.0 is compatible.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.1.0 74 3/30/2026
1.0.0 72 3/27/2026