Demo and Examples showing how to use ACME.
The slides were built with Quarto version 1.2.313. To make the Quarto VS Code extension (and Quarto's web server) pick up the HTML build, first render the project
quarto renderThen generate a generic index.html by creating a symlink to the produced
acme-demo.html:
ln -s acme-demo.html index.htmlThe Jupyter notebook connectome-demo.ipynb is intended as "supplementary
material" for the slidedeck: it illustrates how to concurrently compute
functional connectomes across a subject cohort.
The second thematic area covered by the included demo codes are
Newton Fractals. The
notebook fractal-intro.ipynb provides a short introduction to this topic
(not focused on parallelization), the fractal-demo.ipynb notebook illustrates
how to compute Newton fractals in parallel.
First, set embed-resources: false (many hosters find ~100MB html files
suspicious...), then
quarto render acme-demo.qmd --output-dir demo23Then copy the entire contents of demo23 to the desired webspace and
check the result in a browser.
Due to its memory requirements, the connectome-demo.ipynb notebook is best
run on a multi-node computing cluster. Conversely, fractal-demo.ipynb is
mainly CPU-intensive and can therefore be run on a (capable) multi-core
machine as well.
Both topics are stand-alone demos and can be analyzed independently. The Jupyter notebooks are intended as exemplary illustrations, while the Python modules provide the computational backbone for the notebooks.