Assessing Performance and Porting Strategies for Gravitational $N$-Body Simulations on the RISC-V-Based Tenstorrent Wormhole\textsuperscript{\texttrademark}
This work provides early performance insights for scientific computing on a novel RISC-V accelerator, but the results are preliminary and domain-specific.
The paper evaluates three strategies for porting an N-body simulation to the RISC-V-based Tenstorrent Wormhole accelerator, measuring execution time and energy consumption to identify the best balance between efficiency and performance.
While RISC-V-based accelerators were initially designed with artificial intelligence applications in mind, they are increasingly being recognized as promising platforms for high performance scientific computing. In this work, we present three strategies for scaling an $N$-body code across multiple Tenstorrent Wormhole accelerators based on the RISC-V architecture. We assess the performance of these approaches by measuring both the execution time and the energy consumption required to complete a representative simulation, ultimately identifying the configuration that offers the most favorable balance between efficiency and performance.