International audienceFast Multipole Methods are a fundamental operation for the simulation of many physical problems. In this talk, we present a new approach for implementing these methods that achieves high performance across many different computer architectures. Our method consists of expressing the FMM algorithm as a task flow and employing a state-of-the-art runtime system, StarPU, to process the tasks on the different computing units
AbstractThis paper presents a parallel version of the fast multipole method (FMM). The FMM is a rece...
Solving an N-body problem, electrostatic or gravitational, is a crucial task and the main computatio...
International audienceWith the advent of complex modern architectures, the low-level paradigms long ...
International audienceLearn about the fast multipole method (FMM) and its optimization on NVIDIA GPU...
We present efficient algorithms to build data structures and the lists needed for fast multipole met...
The Fast Multipole Method allows the rapid evaluation of sums of radial basis functions centered at ...
Among the algorithms that are likely to play a major role in future exascale computing, the fast mul...
International audienceThe Fast Multipole Method (FMM) is considered as one of the top ten algorithms...
The Fast Multipole Method allows the rapid evaluation of sums of radial basis functions centered at ...
<b>Invited Lecture at the SIAM <i>"Encuentro Nacional de Ingeniería Matemática,"</i> at Pontificia U...
This paper presents an optimized CPU–GPU hybrid imple-mentation and a GPU performance model for the ...
Most high-performance, scientific libraries have adopted hybrid parallelization schemes - such as t...
In this paper, a programming model is presented which enables scalable parallel performance on multi...
We present parallel versions of a representative N-body application that uses Greengard and Rokhlin&...
This work presents the first extensive study of single- node performance optimization, tuning, and a...
AbstractThis paper presents a parallel version of the fast multipole method (FMM). The FMM is a rece...
Solving an N-body problem, electrostatic or gravitational, is a crucial task and the main computatio...
International audienceWith the advent of complex modern architectures, the low-level paradigms long ...
International audienceLearn about the fast multipole method (FMM) and its optimization on NVIDIA GPU...
We present efficient algorithms to build data structures and the lists needed for fast multipole met...
The Fast Multipole Method allows the rapid evaluation of sums of radial basis functions centered at ...
Among the algorithms that are likely to play a major role in future exascale computing, the fast mul...
International audienceThe Fast Multipole Method (FMM) is considered as one of the top ten algorithms...
The Fast Multipole Method allows the rapid evaluation of sums of radial basis functions centered at ...
<b>Invited Lecture at the SIAM <i>"Encuentro Nacional de Ingeniería Matemática,"</i> at Pontificia U...
This paper presents an optimized CPU–GPU hybrid imple-mentation and a GPU performance model for the ...
Most high-performance, scientific libraries have adopted hybrid parallelization schemes - such as t...
In this paper, a programming model is presented which enables scalable parallel performance on multi...
We present parallel versions of a representative N-body application that uses Greengard and Rokhlin&...
This work presents the first extensive study of single- node performance optimization, tuning, and a...
AbstractThis paper presents a parallel version of the fast multipole method (FMM). The FMM is a rece...
Solving an N-body problem, electrostatic or gravitational, is a crucial task and the main computatio...
International audienceWith the advent of complex modern architectures, the low-level paradigms long ...