ILGPU 0.8.1.1

.NET Core 2.0 .NET Standard 2.1 .NET Framework 4.7
There is a newer version of this package available.
See the version list below for details.
NuGet\Install-Package ILGPU -Version 0.8.1.1
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.
dotnet add package ILGPU --version 0.8.1.1
<PackageReference Include="ILGPU" Version="0.8.1.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add ILGPU --version 0.8.1.1
#r "nuget: ILGPU, 0.8.1.1"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install ILGPU as a Cake Addin
#addin nuget:?package=ILGPU&version=0.8.1.1

// Install ILGPU as a Cake Tool
#tool nuget:?package=ILGPU&version=0.8.1.1

ILGPU compiler and runtime library for convenient and high-performance GPU programming in .Net.
           Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU.Samples

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.1
.NET Framework net47 net471 net472 net48
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen60
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (11)

Showing the top 5 NuGet packages that depend on ILGPU:

Package Downloads
ILGPU.Algorithms

ILGPU Algorithms library for high-level GPU programming. Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU.Samples

ILGPU.Lightning

ILGPU Lightning library for high-level GPU programming. Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU.Samples

VI.Neural

Package Description

VI.ParallelComputing

Package Description

Cephei.QL

Cephei.QL is a complete wrapper of the Quantlib (QLNet) library using the Cell Framework for transparent multi-threaded calculation. Financial model are coded as a series of functional definitions and the dependency graph is derived at runtime as calculation is performed. Overall Cephei parallelism is significantly faster because: [1] Financial calculations are compute intensive with natural independence between instruments in a portfolio, [2] any number of market changes can trigger the need re re-value an instrument. Cephei.QL is a foundation for the Cephei.XL Excel addin that allows models to be built in Excel and saved as functional programs that are algorithmically identical to the source spreadsheet, but can be combined with application code for server deployment. Server deployment can include Cephei.Orleans for Financial “Digital Twin” of Portfolios for real-time risk The source types can be used as-is or as recipes for domain specific implementation with the Cell Framework.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.3.0-beta1 62 9/1/2022
1.2.0 23,246 5/29/2022
1.2.0-beta1 171 4/7/2022
1.1.0 18,984 3/23/2022
1.1.0-rc1 128 2/24/2022
1.1.0-beta1 166 1/28/2022
1.0.0 28,197 12/1/2021
1.0.0-rc3 491 11/22/2021
1.0.0-rc2 825 10/12/2021
1.0.0-rc1 1,292 9/10/2021
1.0.0-beta3 1,111 8/2/2021
1.0.0-beta2 293 7/2/2021
1.0.0-beta1 278 5/25/2021
0.10.1 27,465 4/6/2021
0.10.0 8,501 2/14/2021
0.10.0-beta2 896 1/23/2021
0.10.0-beta1 694 12/9/2020
0.9.2 4,363 11/22/2020
0.9.2-beta1 970 11/1/2020
0.9.1 3,766 10/1/2020
0.9.1-beta1 537 9/21/2020
0.9.0 2,627 8/16/2020
0.9.0-beta1 877 7/26/2020
0.8.1.1 2,771 7/3/2020
0.8.1-beta1 712 6/21/2020
0.8.0 1,795 5/15/2020
0.8.0-beta3 511 5/4/2020
0.8.0-beta2 498 4/26/2020
0.8.0-beta1 655 3/10/2020
0.7.1 4,467 1/26/2020
0.7.0 891 11/30/2019
0.6.0 4,179 7/22/2019
0.5.1 3,340 3/24/2019
0.5.0 2,202 2/2/2019
0.5.0-beta 1,263 12/24/2018
0.4.0-beta 738 11/5/2018
0.3.0 11,968 4/1/2018
0.2.1 10,567 12/1/2017
0.2.0 7,749 11/1/2017
0.1.4 8,785 8/1/2017
0.1.3 7,828 7/1/2017
0.1.2 7,275 6/11/2017
0.1.1 6,475 5/21/2017