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Fast Multipole Method vs. Spectral Method for the Simulation of Isotropic Turbulence on GPUs, and . CoRR, (2011)Fast multipole preconditioners for sparse matrices arising from elliptic equations., , , and . Comput. Vis. Sci., 18 (6): 213-229 (2018)42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence., , , , , and . SC, ACM, (2009)Communication Complexity of the Fast Multipole Method and its Algebraic Variants., , and . Supercomput. Front. Innov., 1 (1): 63-84 (2014)ASDL: A Unified Interface for Gradient Preconditioning in PyTorch., , , , and . CoRR, (2023)Recovering single precision accuracy from Tensor Cores while surpassing the FP32 theoretical peak performance., and . CoRR, (2022)Pre-training Vision Transformers with Very Limited Synthesized Images., , , , , and . ICCV, page 20303-20312. IEEE, (2023)Fork-Join and Data-Driven Execution Models on Multi-core Architectures: Case Study of the FMM., , , , , and . ISC, volume 7905 of Lecture Notes in Computer Science, page 255-266. Springer, (2013)Practical Deep Learning with Bayesian Principles., , , , , , and . NeurIPS, page 4289-4301. (2019)Towards real-time formula driven dataset feed for large scale deep learning training., and . High Performance Computing for Imaging, page 1-6. Society for Imaging Science and Technology, (2023)