Kroneckerised Particle Mesh Ewald
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866912851322470400 |
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| author | Chollet, Igor |
| author_facet | Chollet, Igor |
| contents | Particle Mesh Ewald (PME) methods accelerated through Fast Fourier Transforms (FFTs) for their reciprocal part are widely used to solve N -body problems over periodic structures with Laplace-like kernels. The FFT dependence of classical PME may mitigate its performance on parallel distributed-memory architectures. We here introduce a new variant of the reciprocal part based on Sum of Kronecker Products (SKP) instead of FFT. Moreover, our implementation of this new method is not linearithmic (as opposed to classical PME) but has an important parallel potential. We present the different approximation levels exploited in our new scheme and demonstrate to what extent it could be used on parallel distributed-memory architectures. Numerical examples supplement presented assertions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_18838 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Kroneckerised Particle Mesh Ewald Chollet, Igor Numerical Analysis Particle Mesh Ewald (PME) methods accelerated through Fast Fourier Transforms (FFTs) for their reciprocal part are widely used to solve N -body problems over periodic structures with Laplace-like kernels. The FFT dependence of classical PME may mitigate its performance on parallel distributed-memory architectures. We here introduce a new variant of the reciprocal part based on Sum of Kronecker Products (SKP) instead of FFT. Moreover, our implementation of this new method is not linearithmic (as opposed to classical PME) but has an important parallel potential. We present the different approximation levels exploited in our new scheme and demonstrate to what extent it could be used on parallel distributed-memory architectures. Numerical examples supplement presented assertions. |
| title | Kroneckerised Particle Mesh Ewald |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2601.18838 |