Étude de la consommation de puissance du processeur et de la mémoire des solveurs couplés creux/denses
Emmanuel Agullo, Marek Felšöci, Amina Guermouche, Mathieu, Hervé, Guillaume Sylvand, Bastien Tagliaro · HAL (Le Centre pour la Communication Scientifique Directe) · 2022
In the aeronautical industry, aeroacoustics is used to model the propagation of acoustic waves in air flows enveloping an aircraft in flight. This for instance allows one to simulate the noise produced at ground level by an aircraft during the takeoff and landing phases, in order to validate that the regulatory environmental standards are met. Unlike most other complex physics simulations, the method resorts to solving coupled sparse/dense systems. In a previous study, we proposed two classes of algorithms for solving such large systems on a relatively small workstation (one or a few multicore nodes) based on compression techniques. The objective of this study is to assess whether the positive impact of the proposed algorithms on time to solution and memory usage translates to the energy consumption as well. Because of the nature of the problem, coupling dense and sparse matrices, and the underlying solutions methods, including dense, sparse direct and compression steps, this yields an interesting processor and memory power profile which we aim to analyze in details.