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This paper introduces a parallel directional fast multipole method (FMM) for solving N-body problems with highly oscillatory kernels, with a focus on the Helmholtz kernel in three dimensions. This class of oscillatory kernels requires a…

数值分析 · 数学 2018-01-08 Austin R. Benson , Jack Poulson , Kenneth Tran , Björn Engquist , Lexing Ying

A new fast multipole formulation for solving elliptic difference equations on unbounded domains and its parallel implementation are presented. These difference equations can arise directly in the description of physical systems, e.g.…

计算物理 · 物理学 2016-04-08 Sebastian Liska , Tim Colonius

Fast algorithms for the computation of $N$-body problems can be broadly classified into mesh-based interpolation methods, and hierarchical or multiresolution methods. To this last class belongs the well-known fast multipole method (FMM),…

分布式、并行与集群计算 · 计算机科学 2011-09-21 Felipe A. Cruz , Matthew G. Knepley , L. A. Barba

Boundary value problems involving elliptic PDEs such as the Laplace and the Helmholtz equations are ubiquitous in mathematical physics and engineering. Many such problems can be alternatively formulated as integral equations that are…

数值分析 · 数学 2024-02-20 Tianyu Liang , Chao Chen , Per-Gunnar Martinsson , George Biros

Kernel matrix-vector product is ubiquitous in many science and engineering applications. However, a naive method requires $O(N^2)$ operations, which becomes prohibitive for large-scale problems. We introduce a parallel method that provably…

数学软件 · 计算机科学 2021-04-30 Ruoxi Wang , Chao Chen , Jonghyun Lee , Eric Darve

Linear-scaling electronic-structure techniques, also called O(N) techniques, rely heavily on the multiplication of sparse matrices, where the sparsity arises from spatial cut-offs. In order to treat very large systems, the calculations must…

材料科学 · 物理学 2009-10-31 D. R. Bowler , T. Miyazaki , M. J. Gillan

Models of fermions interacting with classical degrees of freedom are applied to a large variety of systems in condensed matter physics. For this class of models, Wei{\ss}e [Phys. Rev. Lett. {\bf 102}, 150604 (2009)] has recently proposed a…

强关联电子 · 物理学 2015-06-15 Shixun Zhang , Shinichi Yamagiwa , Seiji Yunoki

The Fast Multipole Method (FMM) offers an acceleration for pairwise interaction calculation, known as $N$-body problems, from $\mathcal{O}(N^2)$ to $\mathcal{O}(N)$ with $N$ particles. This has brought dramatic increase in the capability of…

数据结构与算法 · 计算机科学 2011-09-21 Felipe A. Cruz , L. A. Barba

Among the algorithms that are likely to play a major role in future exascale computing, the fast multipole method (FMM) appears as a rising star. Our previous recent work showed scaling of an FMM on GPU clusters, with problem sizes in the…

数值分析 · 计算机科学 2012-10-30 Rio Yokota , Lorena Barba

The Fast Multipole Method (FMM) is an efficient numerical algorithm for computation of long-ranged forces in $N$-body problems within gravitational and electrostatic fields. This method utilizes multipole expansions of the Green's function…

机器学习 · 计算机科学 2025-09-26 Emilio McAllister Fognini , Marta M. Betcke , Ben T. Cox

The Fast Multipole Method (FMM) is well known to possess a bottleneck arising from decreasing workload on higher levels of the FMM tree [Greengard and Gropp, Comp. Math. Appl., 20(7), 1990]. We show that this potential bottleneck can be…

计算工程、金融与科学 · 计算机科学 2010-08-17 Matthew G. Knepley

The Fast Multipole Method (FMM) for the Poisson equation is extended to the case of non-axisymmetric problems in an axisymmetric domain, described by cylindrical coordinates. The method is based on a Fourier decomposition of the source into…

数值分析 · 数学 2023-01-04 Michael J. Carley

In this paper, we present a fast multipole method (FMM) for solving the two-dimensional Laplace equation in a half-plane with Robin boundary conditions. The method is based on a novel expansion theory for the reaction component of the…

数值分析 · 数学 2025-07-30 Chunzhi Xiang , Bo Wang , Wenzhong Zhang , Wei Cai

The kernel-based multi-scale method has been proven to be a powerful approximation method for scattered data approximation problems which is computationally superior to conventional kernel-based interpolation techniques. The multi-scale…

数值分析 · 数学 2025-03-10 Federico Lot , Christian Rieger

This paper presents the first parallel implementation of the novel "Interpolated Factored Green Function" (IFGF) method introduced recently for the accelerated evaluation of discrete integral operators arising in wave scattering and other…

数值分析 · 数学 2022-05-12 Christoph Bauinger , Oscar P. Bruno

We propose an efficient algorithm for the evaluation of the potential and its gradient of gravitational/electrostatic $N$-body systems, which we call particle mesh multipole method (PMMM or PM$^3$). PMMM can be understood both as an…

天体物理仪器与方法 · 物理学 2014-10-20 Keigo Nitadori

We present a hybrid OpenMP/Charm++ framework for solving the $\mathcal{O} (N)$ Self-Consistent-Field eigenvalue problem with parallelism in the strong scaling regime, $P\gg{N}$, where $P$ is the number of cores, and $N$ a measure of system…

数值分析 · 计算机科学 2015-10-21 Nicolas Bock , Matt Challacombe , Laxmikant V. Kalé

Evaluation of pair potentials is critical in a number of areas of physics. The classicalN-body problem has its root in evaluating the Laplace potential, and has spawned tree-algorithms, the fast multipole method (FMM), as well as kernel…

分布式、并行与集群计算 · 计算机科学 2020-07-08 Michael P. Lingg , Stephen M. Hughey , Hasan Metin Aktulga , Balasubramaniam Shanker

Fast Multipole Methods (FMMs) based on the oscillatory Helmholtz kernel can reduce the cost of solving N-body problems arising from Boundary Integral Equations (BIEs) in acoustic or electromagnetics. However, their cost strongly increases…

数值分析 · 数学 2022-02-11 Igor Chollet , Xavier Claeys , Pierre Fortin , Laura Grigori

We present an implementation of the fast multipole method for computing coulombic electrostatic and polarization forces from polarizable force-fields based on induced point dipole moments. We demonstrate the expected $O(N)$ scaling of that…

化学物理 · 物理学 2015-06-22 Jonathan P. Coles , Michel Masella
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