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International Journal of Reconfigurable Computing
Volume 2016, Article ID 4592780, 10 pages
http://dx.doi.org/10.1155/2016/4592780
Research Article

An Accelerating Solution for -Body MOND Simulation with FPGA-SoC

Bo Peng,1,2 Tianqi Wang,1,2 Xi Jin,1,2 and Chuanjun Wang3,4,5

1Key Laboratory of Strongly Coupled Quantum Matter Physics, Chinese Academy of Sciences, School of Physical Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China
2Hefei Branch Center of National ASIC Design Engineering Technology Research Center, Institute of Advanced Technology, University of Science and Technology of China, Hefei, Anhui 230600, China
3Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, China
4Key Laboratory for the Structure and Evolution of the Celestial Objects, Chinese Academy of Sciences, Kunming 650216, China
5University of Chinese Academy of Sciences, Beijing 100049, China

Received 21 December 2015; Accepted 17 May 2016

Academic Editor: Michael Hübner

Copyright © 2016 Bo Peng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Tianqi Wang, Tong Geng, Xi Jin, and Martin Herbordt, “FP-AMR: A Reconfigurable Fabric Framework for Adaptive Mesh Refinement Applications,” 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), pp. 245–253, . View at Publisher · View at Google Scholar
  • Emanuele Del Sozzo, Lorenzo Di Tucci, and Marco D. Santambrogio, “A Highly Scalable and Efficient Parallel Design of N-Body Simulation on FPGA,” 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 241–246, . View at Publisher · View at Google Scholar
  • Emanuele Del Sozzo, Marco Rabozzi, Lorenzo Di Tucci, Donatella Sciuto, and Marco D. Santambrogio, “A Scalable FPGA Design for Cloud N-Body Simulation,” Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors, vol. 2018-, 2018. View at Publisher · View at Google Scholar
  • George Lentaris, Konstantinos Maragos, Ioannis Stratakos, Lazaros Papadopoulos, Odysseas Papanikolaou, Dimitrios Soudris, Manolis Lourakis, Xenophon Zabulis, David Gonzalez-Arjona, and Gianluca Furano, “High-Performance Embedded Computing in Space: Evaluation of Platforms for Vision-Based Navigation,” Journal of Aerospace Information Systems, pp. 1–15, 2018. View at Publisher · View at Google Scholar