{"ID":2867315,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.19294","arxiv_id":"2509.19294","title":"Accelerating Gravitational $N$-Body Simulations Using the RISC-V-Based Tenstorrent Wormhole","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 $2 \\times$ speedup and approximately $2 \\times$ energy savings compared to a highly optimized CPU implementation of the same code.","short_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 develo...","url_abs":"https://arxiv.org/abs/2509.19294","url_pdf":"https://arxiv.org/pdf/2509.19294v1","authors":"[\"Jenny Lynn Almerol\",\"Elisabetta Boella\",\"Mario Spera\",\"Daniele Gregori\"]","published":"2025-09-23T17:56:34Z","proceeding":"cs.DC","tasks":"[\"cs.DC\",\"astro-ph.IM\"]","methods":"[]","has_code":false}