# A novel multiple-walk parallel algorithm for the Barnes–Hut treecode on GPUs – towards cost effective, high performance N-body simulation

@article{Hamada2009A, title={ A novel multiple-walk parallel algorithm for the Barnes–Hut treecode on GPUs – towards cost effective, high performance N-body simulation }, author={Tsuyoshi Hamada and Keigo Nitadori and Khaled Benkrid and Yousuke Ohno and Gentaro Morimoto and Tomonari Masada and Yuichiro Shibata and Kiyoshi Oguri and Makoto Taiji}, journal={Computer Science - Research and Development}, year={2009}, volume={24}, pages={21-31} }

AbstractRecently, general-purpose computation on graphics processing units (GPGPU) has become an increasingly
popular field of study as graphics processing units (GPUs) continue to be proposed as high performance
and relatively low cost implementation platforms for scientific computing applications. Among these
applications figure astrophysical N-bodysimulations, which form one of the most challenging problems
in computational science. However, in most reported studies, a simple
$ \mathcal…

## 30 Citations

### Barnes-hut treecode on GPU

- Computer Science2010 IEEE International Conference on Progress in Informatics and Computing
- 2010

A new implementation of tree-algorithm on GPU using CUDA, which has obtained more than 100X speedup when computing forces between bodies, and rises up a new method to build tree in this algorithm, making the performance even better.

### A sparse octree gravitational N-body code that runs entirely on the GPU processor

- Computer ScienceJ. Comput. Phys.
- 2012

### An Efficient CUDA Implementation of the Tree-Based Barnes Hut n-Body Algorithm

- Computer Science
- 2011

### 42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence

- Physics, Computer ScienceProceedings of the Conference on High Performance Computing Networking, Storage and Analysis
- 2009

The present method calculates the O(N log N) treecode and O (N) fast multipole method (FMM) on the GPUs with unprecedented efficiency and demonstrates the performance of the method by choosing one standard application -a gravitational N-body simulation- and one non-standard application -simulation of turbulence using vortex particles.

### A novel parallel algorithm for near-field computation in N-body problem on GPU

- Computer Science
- 2011

A novel efficient parallel algorithm for the near-field computation in N-body problem on the Graphics Processing Unit (GPU) architecture is proposed, based on the Newton’s third law and Z-order Space Filling Curve.

### The algorithm mapping of the near-field computation in N-body problem on GPU

- Computer Science
- 2011

This paper discusses the principle of mapping algorithm efficiently on to the Graphics Processing Unit (GPU) architecture from the aspects of task partition and data access by researching the…

### 190 TFlops Astrophysical N-body Simulation on a Cluster of GPUs

- Computer Science, Physics2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
- 2010

The results of a hierarchical N-body simulation on DEGIMA, a cluster of PCs with 576 graphic processing units (GPUs) and using an InfiniBand interconnect using Infini band are presented.

### On the parallelization and performance analysis of Barnes–Hut algorithm using Java parallel platforms

- Computer ScienceSN Applied Sciences
- 2020

Multi-core processors provide time-efficient and cost-effective solutions to execute the algorithms for complex physical systems. However, to efficiently exploit the processing capabilities of the…

### Parallel time-space processing model based fast N-body simulation on GPUs

- Computer Science, PhysicsPMAM '13
- 2013

A novel parallel implementation of N-body gravitational simulation on GPUs is presented, and the experimental results show that this method achieves an acceleration of 413 compared with CPU, and an acceleration up to 5.5 times compared with other GPU based methods.

### Petascale turbulence simulation using a highly parallel fast multipole method on GPUs

- Computer Science, PhysicsComput. Phys. Commun.
- 2013

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