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+# Parallel raster processing in the {stars} package 
+
+The following tutorial demonstrates the parallel processing of huge (out-of-memory) raster
+data in the [**stars**](https://github.com/r-spatial/stars) package. The discussed example
+concerns the unsupervised classification of multispectral satellite images. The used technique
+allows you to divide the image into smaller blocks and process them simultaneously (rather
+than sequentially), so you will notice an increase in performance.
+
+### [Tutorial](https://kadyb.github.io/stars-parallel/Tutorial.html)