Performance of direct N-body code on ARM64 SoC

David Goz, Luca Tornatore, Sara Bertocco & Giuliano Taffoni
The ExaNeSt H2020 project will produce a prototype based on ARM64 CPUs and FPGA-based accelerators implementing a co-design approach where scientific applications requirements are driving the hardware design. We present strategies adopted in order to port our direct N-body code on an ARM SoC cluster, called INCAS, deployed at INAF-OATs. Each computational node is based on 64-bit ARMv8 Cortex-A72/Cortex-A53 core design, powered by the Mali-T864 GPU. We present the strategies to optimize the code and...
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