Reconfigurable Out-of-Order System for Fluid Dynamics Computation Using Unstructured Mesh
Author:
Affiliation:
1. Graduate School of Science and Technology, Keio University
2. Department of Electrical and Electronics Engineering, University of the Ryukyus
3. Japan Aerospace Exploration Agency (JAXA)
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E97.D/5/E97.D_1225/_pdf
Reference19 articles.
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2. [2] X. Tian and K. Benkrid, “High-performance quasi-monte carlo financial simulation: FPGA vs. GPP vs. GPU,” ACM Trans. Reconfigurable Technol. Syst., vol.3, no.4, pp.26: 1-26: 22, Nov. 2010.
3. [3] D.B. Thomas, L. Howes, and W. Luk, “A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation,” Proc. ACM/SIGDA International Symposium on Field Programmable Gate Arrays, FPGA '09, New York, NY, USA, pp.63-72, 2009.
4. [4] P. Sundararajan, High Performance Computing Using FPGAs, Xilinx Inc., 2010.
5. [5] O. Lindtjorn, R. Clapp, O. Pell, O. Mencer, M. Flynn, and H. Fu, “Beyond traditional microprocessors for geoscience high-performance computing applications,” IEEE, Micro, vol.31, no.2, pp.41-49, 2011.
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