Real-world applications typically require a standard library and a set of standard algorithms that "simply work". The ILGPU Algorithms library meets these requirements by offering a set of auxiliary functions and high-level algorithms (e.g. sorting or prefix sum). All algorithms can be run on all supported accelerator types. The CPU accelerator support is especially useful for kernel debugging.
ILGPU.Algorithms requires Visual Studio 2019 or higher.
Make sure to init/update the ILGPU git submodule using git submodule update --init before building the algorithms library.
Note: T4 (*.tt) text templates must be converted manually depending on the Visual Studio version. To transform them, right-click a text template and select Run Custom Tool. Alternatively, you can open and save any text template in Visual Studio or choose "Build->Transform all T4 Templates".
ILGPU.Algorithms is licensed under the University of Illinois/NCSA Open Source License. Detailed license information can be found in LICENSE.txt.
Copyright (c) 2019-2020 ILGPU Algorithms Project. All rights reserved. Copyright (c) 2016-2018 ILGPU Lightning Project. All rights reserved.
Different parts of ILGPU.Algorithms require different third-party libraries.
- ILGPU.Algorithms Dependencies
- ILGPU (http://www.ilgpu.net)
Detailed copyright and license information of these dependencies can be found in LICENSE-3RD-PARTY.txt.
This work was supported by the Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI; German Research Center for Artificial Intelligence).
