  In this thought-provoking article, we discuss certain myths and legends that
are folklore among members of the high-performance computing community. We
gathered these myths from conversations at conferences and meetings, product
advertisements, papers, and other communications such as tweets, blogs, and
news articles within and beyond our community. We believe they represent the
zeitgeist of the current era of massive change, driven by the end of many
scaling laws such as Dennard scaling and Moore's law. While some laws end, new
directions are emerging, such as algorithmic scaling or novel architecture
research. Nevertheless, these myths are rarely based on scientific facts, but
rather on some evidence or argumentation. In fact, we believe that this is the
very reason for the existence of many myths and why they cannot be answered
clearly. While it feels like there should be clear answers for each, some may
remain endless philosophical debates, such as whether Beethoven was better than
Mozart. We would like to see our collection of myths as a discussion of
possible new directions for research and industry investment.

Distributed, Parallel, and Cluster Computing;Hardware Architecture;Computers and Society;Machine Learning;Social and Information Networks