Goz, DavidDavidGozBERTOCCO, SARASARABERTOCCOTORNATORE, LucaLucaTORNATORETAFFONI, GiulianoGiulianoTAFFONI2020-12-152020-12-152019978-1-58381-933-31050-3390http://hdl.handle.net/20.500.12386/28858This work was carried out within the ExaNeSt (FET-HPC) project (grant no. 671553) and the ASTERICS project (grant no. 653477), funded by the European Union’s Horizon 2020 research and innovation program.The ExaNeSt and EuroExa H2020 EU-funded projects aim to design and develop an exascale ready computing platform prototype based on low-energy-consumption ARM64 cores and FPGA accelerators. We participate in the application-driven design of the hardware solutions and prototype validation. To carry on this work we are using, among others, Hy-Nbody, a state-of-the-art direct N-body code. Core algorithms of Hy-Nbody have been improved in such a way to increasingly fit them to the exascale target platform. Waiting for the ExaNest prototype release, we are performing tests and code tuning operations on an ARM64 SoC facility: a SLURM managed HPC cluster based on 64-bit ARMv8 Cortex-A72/Cortex-A53 core design and powered by a Mali-T864 embedded GPU. In parallel, we are porting a kernel of Hy-Nbody on FPGA aiming to test and compare the performance-per-watt of our algorithms on different platforms. In this paper we describe how we re-engineered the application and we show first results on ARM SoC.STAMPAenConference paperhttp://aspbooks.org/a/volumes/table_of_contents/?book_id=594http://aspbooks.org/a/volumes/article_details/?paper_id=393052019ASPC..523..559GFIS/05 - ASTRONOMIA E ASTROFISICA