clEsperantoJ is the Java library of clEsperanto - a multi-language framework for GPU-accelerated image processing. It relies on a familly of OpenCL kernels originated from CLIJ, and rely on the C++ CLIc library as a processing backend.
Please note this project is in alpha stages.
A pre-build jar compatible for Windows, MacOS, and Ubuntu, is deployed on the maven.scijava repository manager. It can be downloaded directly from the website or integrated to your project as a dependency using maven.
This is necessary for contribution. Please refere to the instructions page.
This is an open-source project, contribution and feedback are very welcome. Do not hesitate to contact us for more information.
This project was supported by the Deutsche Forschungsgemeinschaft under Germany’s Excellence Strategy – EXC2068 - Cluster of Excellence "Physics of Life" of TU Dresden. This project has been made possible in part by grant number 2021-237734 (GPU-accelerating Fiji and friends using distributed CLIJ, NEUBIAS-style, EOSS4) from the Chan Zuckerberg Initiative DAF, an advised fund of the Silicon Valley Community Foundation.