Workshop: International Workshop on RISC-V for HPC (RISCVHPC)
Authors: Jenny Lynn Almerol and Elisabetta Boella (E4 Computer Engineering), Mario Spera (Scuola Internazionale Superiore di Studi Avanzati (SISSA)), and Daniele Gregori (E4 Computer Engineering)
Abstract: Although originally developed primarily for artificial intelligence workloads, RISC-V-based accelerators are also emerging as attractive platforms for high-performance scientific computing. In this work, we present our approach to accelerating an astrophysical N-body code on the RISC-V-based Wormhole n300 card developed by Tenstorrent. Our results show that this platform can be highly competitive for astrophysical simulations employing this class of algorithms, delivering more than a 2x speedup and approximately 2x energy savings compared to a highly optimized CPU implementation of the same code.
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