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Attila Szabo edited this page Dec 21, 2023 · 164 revisions

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The Aardvark Platform | Gallery | Packages

Aardvark is an open-source platform for visual computing, real-time graphics and visualization. It is based on a functional-first programming paradigm and is one of the most efficient platforms in terms of raw rendering performance, throughput, resource consumption, and rapid prototyping of complex visual computing applications. Some of its unique features include a fully incremental rendering VM, semantic composition of language-integrated shaders, and elm-style application development.

Aardvark is also used in industrial-scale real-world systems. It routinely handles terabytes of data, integrates sophisticated computer vision, graphics, and data management algorithms, and drives complex workflows and user interfaces.

Quickstart

Tooling

Demos & Examples

Showcases

Debugging Techniques & How to Contribute

FShade

Tutorials

Cool university and community projects

Gotchas

Cheatsheets

API Documentation

Aardvark.Media

Resources

Publications

Many of Aardvark's core concepts have been peer-reviewed by experts in their fields and published at major scientific conferences.

[1] Georg Haaser, Harald Steinlechner, Stefan Maierhofer, and Robert F. Tobler. 2015. An incremental rendering VM. In Proceedings of the 7th Conference on High-Performance Graphics (HPG '15), Stephen Spencer (Ed.). ACM, New York, NY, USA, 51-60.

[2] Georg Haaser, Harald Steinlechner, Michael May, Michael Schwärzler, Stefan Maierhofer, Robert F. Tobler. 2015. Semantic Composition of Language-Integrated Shaders. In Computer Vision, Imaging and Computer Graphics - Theory and Applications: International Joint Conference, VISIGRAPP 2014, Lisbon, Portugal, January 5-8, 2014, Revised Selected Papers. Springer International Publishing, ISBN 978-3-319-25117-2, pp. 45-61.

[3] Georg Haaser, Harald Steinlechner, Michael May, Michael Schwärzler, Stefan Maierhofer and Robert F. Tobler, "CoSMo: Intent-based composition of shader modules," 2014 International Conference on Computer Graphics Theory and Applications (GRAPP), Lisbon, Portugal, 2014, pp. 1-11.

[4] Michael Wörister, Harald Steinlechner, Stefan Maierhofer, and Robert F. Tobler. 2013. Lazy incremental computation for efficient scene graph rendering. In Proceedings of the 5th High-Performance Graphics Conference (HPG '13). ACM, New York, NY, USA, 53-62.

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