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Fixed links to archived ILGPU.Samples project.
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MoFtZ committed Mar 2, 2023
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4 changes: 2 additions & 2 deletions Docs/03_Advanced/07_Inside-ILGPU.md
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Compiled kernels have to be loaded by an accelerator first before they can be executed.
See
the [ILGPU low-level kernel sample](https://github.com/m4rs-mt/ILGPU.Samples/tree/master/Src/LowLevelKernelCompilation)
the [ILGPU low-level kernel sample](https://github.com/m4rs-mt/ILGPU/tree/master/Samples/LowLevelKernelCompilation)
for details.
**Note: manually loaded kernels should be disposed manually to have full control over the lifetime of the kernel
function in driver memory. You can also rely on the .Net GC to dispose kernels in the background.**
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Kernel launchers are delegates that provide an alternative to direct kernel invocations.
These launchers are specialized methods that are dynamically generated and specialized for every kernel.
They avoid boxing and
realize [high-performance kernel dispatching](https://github.com/m4rs-mt/ILGPU.Samples/blob/master/Src/SimpleKernelDelegate)
realize [high-performance kernel dispatching](https://github.com/m4rs-mt/ILGPU/tree/master/Samples/SimpleKernel)
.
You can create a custom kernel launcher using the `CreateLauncherDelegate` method.
It Creates a specialized launcher for the associated kernel.
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<Description>ILGPU Algorithms library for high-level GPU programming.</Description>
<PackageDescription>
ILGPU Algorithms library for high-level GPU programming.
Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU.Samples
Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU/tree/master/Samples
</PackageDescription>
<PackageProjectUrl>http://www.ilgpu.net</PackageProjectUrl>
<PackageReleaseNotes>http://www.ilgpu.net/releases/ILGPU.Algorithms.ReleaseNotes.txt</PackageReleaseNotes>
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2 changes: 1 addition & 1 deletion Src/ILGPU/Properties/ILGPU.nuspec.targets
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<Description>ILGPU Just-In-Time Compiler</Description>
<PackageDescription>
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
Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU/tree/master/Samples
</PackageDescription>
<PackageProjectUrl>http://www.ilgpu.net</PackageProjectUrl>
<PackageReleaseNotes>http://www.ilgpu.net/releases/ILGPU.ReleaseNotes.txt</PackageReleaseNotes>
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