The goal of this project is to develop a high-performance black-box fast multipole method (bbFMM) that can run very fast on a CUDA-capable GPU. Our prime objective is to offload the multipole-to-local operation (M2L) and the particle-to-particle computation (P2P) efficiently onto GPU. The bbFMM is the primary target, but other FMM variants can work with our high-performance M2L codes.
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