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The sustainability of legacy software libraries, in particular legacy numerical libraries, has been seriously deteriorated by several recent radical changes in microprocessor and system designs. These have rendered some of the legacy software infrastructure obsolete. The Linear Algebra PACKage (LAPACK) is a community standard for dense linear algebra and has been adopted and supported by a large community of users, computing centers, and high-performance computing (HPC) vendors. The <T>LAPACK library is one proposal to close the gap between LAPACK and the new and emerging computing platforms. It uses C++ templates to provide precision-neutral algorithms, i.e., which work in single, double, half, and multiprecision types, and, in some cases, allow for mixed-precision. In the long term, we hope that some of the framework of <T>LAPACK could be used to develop new implementations of state-of-the-art numerical linear algebra libraries. In this talk, we will present <T>LAPACK, its design, features, and some examples of usage. We will talk about the test suite that has been developed jointly. This work is supported by NSF award #2004850. Bio da Silva Pereira: Weslley da Silva Pereira is Research Associate at the University of Colorado Denver since 2021. In 2019, Dr. da Silva Pereira obtained a PhD from the National Laboratory of Scientific Computing (LNCC) in Petrópolis, Brazil. His dissertation is entitled “Multiscale Hybrid-Mixed (MHM) Methods for Heterogeneous Elastic Models.†Dr. da Silva Pereira is passionate about Applied Mathematics and Scientific Software Development, and has extensive experience in Numerical Analysis and development of Large-Scale Numerical Algorithms. Bio Langou: Julien Langou is a Professor and Chair of the Department of Mathematical and Statistical Sciences at the University of Colorado Denver. His expertise is in Numerical Linear Algebra and High Performance Computing. He has a long-time experience being a maintainer and a developer for the LAPACK software. Host: Anna Matsekh |