In this humorous and thought provoking article, we discuss certain myths and legends that are folklore among members of the high-performance computing community. We collected those 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 open up, such as algorithmic scaling or novel architecture research. However, these myths are rarely based on scientific facts but often 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 the question 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.
翻译:在这个幽默的、发人深省的文章中,我们讨论了某些传说和传说,这些传说是高性能计算界成员中的民间传说。我们从各种会议的对话、产品广告、论文和其他通讯中收集了这些神话,例如我们社区内部(内外)的推文、博客和新闻文章。我们认为,这些神话代表了当今巨大变革时代的热门主义者,这是由诸如登纳尔德的缩放和摩尔的法律等许多比例化法律的终结所驱动的。虽然有些法律结束了,但新的方向打开了,例如算法的缩放或新的建筑研究。然而,这些神话很少以科学事实为基础,但往往以一些证据或争论为依据。事实上,我们认为,这是许多神话存在的原因,也是为什么它们无法被明确解答的原因。尽管我们认为应该有明确的答案,但有些人可能仍然是无休止的哲学辩论,比如Beethoven是否比莫扎特更好。我们所收集的神话,我们希望看到我们所收集的神话会成为研究与工业投资可能的新方向的讨论。