Abstract
This article is dedicated to Jack Dongarra on the occasion of him receiving the 2021 ACM Turing Award and concentrates primarily on his contributions to numerical linear algebra, particularly on the development of algorithms and software to reliably and efficiently solve linear algebra problems. We shall look at software projects, a number of them initiated by Jack, ranging from the BLAS and LINPACK through LAPACK to recent projects, such as SLATE, as well as some of his algorithmic contributions. Quoting from one of Jack’s own recent talks, his tenets have been “accuracy, community, innovation, performance, portability, productivity, readability, and reliability.”
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