Improving the Performance of Task-Based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures

Jesús Cámara, Javier Cuenca 0001, Murilo Boratto. Improving the Performance of Task-Based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures. In Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I. Volume 14073 of Lecture Notes in Computer Science, pages 668-682, Springer, 2023. [doi]

Abstract

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