Accelerating Gravitational $N$-Body Simulations Using the RISC-V-Based Tenstorrent Wormhole
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909802662199296 |
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| author | Almerol, Jenny Lynn Boella, Elisabetta Spera, Mario Gregori, Daniele |
| author_facet | Almerol, Jenny Lynn Boella, Elisabetta Spera, Mario Gregori, Daniele |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_19294 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Accelerating Gravitational $N$-Body Simulations Using the RISC-V-Based Tenstorrent Wormhole Almerol, Jenny Lynn Boella, Elisabetta Spera, Mario Gregori, Daniele Distributed, Parallel, and Cluster Computing Instrumentation and Methods for Astrophysics D.1.3; J.2 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. |
| title | Accelerating Gravitational $N$-Body Simulations Using the RISC-V-Based Tenstorrent Wormhole |
| topic | Distributed, Parallel, and Cluster Computing Instrumentation and Methods for Astrophysics D.1.3; J.2 |
| url | https://arxiv.org/abs/2509.19294 |