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Computing and Visualization in Science, ISSN 1432-9360, 3/2018, Volume 18, Issue 6, pp. 213 - 229
Among optimal hierarchical algorithms for the computational solution of elliptic problems, the fast multipole method (FMM) stands out for its adaptability to... 
Visualization | Computational Mathematics and Numerical Analysis | Algorithms | Calculus of Variations and Optimal Control; Optimization | Preconditioner | Stokes equation | Numerical Analysis | Krylov subspace method | Poisson equation | Mathematics | Fast multipole method | Computer Applications in Chemistry
Journal Article
Journal of Parallel and Distributed Computing, ISSN 0743-7315, 02/2020, Volume 136, Issue C, pp. 63 - 74
FFT, FMM, and multigrid methods are widely used fast and highly scalable solvers for elliptic PDEs. However, emerging large-scale computing systems are... 
Performance modeling | Exascale | Fast multipole method | Multigrid | Fast Fourier transform | ALGORITHM | COMPUTER SCIENCE, THEORY & METHODS
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2017, Volume 10266, pp. 79 - 96
Conference Proceeding
Computer Physics Communications, ISSN 0010-4655, 10/2014, Volume 185, Issue 10, pp. 2575 - 2585
Journal Article
2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 05/2019, pp. 778 - 786
To understand and predict the performance of scientific applications, several analytical and machine learning approaches have been proposed, each having its... 
performance prediction | Analytical models | Computational modeling | analytical modeling | Machine learning | Predictive models | Mathematical model | hybrid modeling | Kernel | Optimization
Conference Proceeding
Lecture Notes in Computational Science and Engineering, ISSN 1439-7358, 2017, Volume 117, pp. 267 - 286
Conference Proceeding
10/2018
To understand and predict the performance of scientific applications, several analytical and machine learning approaches have been proposed, each having its... 
Journal Article
08/2016
Fast multipole methods (FMM) were originally developed for accelerating $N$-body problems for particle-based methods. FMM is more than an $N$-body solver,... 
Journal Article
02/2016
There has been a large increase in the amount of work on hierarchical low-rank approximation methods, where the interest is shared by multiple communities that... 
Computer Science - Numerical Analysis
Journal Article
02/2017
Reduction of communication and efficient partitioning are key issues for achieving scalability in hierarchical $N$-Body algorithms like FMM. In the present... 
Computer Science - Distributed, Parallel, and Cluster Computing
Journal Article
05/2014
Exascale systems are predicted to have approximately one billion cores, assuming Gigahertz cores. Limitations on affordable network topologies for distributed... 
Computer Science - Distributed, Parallel, and Cluster Computing
Journal Article
08/2013
Among optimal hierarchical algorithms for the computational solution of elliptic problems, the Fast Multipole Method (FMM) stands out for its adaptability to... 
Journal Article
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