Universitat Politècnica de Catalunya. Doctorat en Enginyeria Tèrmica, Universitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics, Universitat Politècnica de Catalunya. CTTC - Centre Tecnològic de Transferència de Calor, Plana Riu, Josep, Trias Miquel, Francesc Xavier, Alsalti Baldellou, Àdel, Oliva Llena, Asensio, Universitat Politècnica de Catalunya. Doctorat en Enginyeria Tèrmica, Universitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics, Universitat Politècnica de Catalunya. CTTC - Centre Tecnològic de Transferència de Calor, Plana Riu, Josep, Trias Miquel, Francesc Xavier, Alsalti Baldellou, Àdel, and Oliva Llena, Asensio
Extracting flow statistics from flow simulations requires generally long in- tegration intervals in which a good deal of the time is spent time-averaging the results. In order to avoid this, ensemble averaging can be applied to reduce the overall simulation time by simulating multiple statistically independent flow states for a smaller period of time and later averaging among them. In order to optimize the process, a cross-platform portable parallel-in-time method is presented in which the overall simulation is solved making use of sparse matrix-matrix products (SpMM), a high arithmetic intensity counterpart for sparse matrix-vector products, so that the efficiency of the simulation is increased., J.P-R., F.X.T., A.A-B. and A.O. are supported by the Ministerio de Econom a y Competitividad, Spain, RETOtwin project (PDC2021-120970-I00). J.P- R. is also supported by the Catalan Agency for Management of University and Research Grants (AGAUR), and A. A-B. is also supported by the predoctoral grants DIN2018- 010061 and 2019-DI-90, by MCIN/AEI/10.13039/501100011033 and AGAUR. Calcula- tions are being performed on the MareNostrum 4 supercomputer at the BSC. The authors thankfully acknowledge these institutions., Postprint (published version)