Paper Info
Title
Evaluation of the 3-D finite difference implementation of the acoustic diffusion equation model on massively parallel architectures
Abstract
The diffusion equation model is a popular tool in room acoustics modeling. The 3-D Finite Difference (3D-FD) implementation predicts the energy decay function and the sound pressure level in closed environments. This simulation is computationally expensive, as it depends on the resolution used to model the room. With such high computational requirements, a high-level programming language (e.g., Matlab) cannot deal with real life scenario simulations. Thus, it becomes mandatory to use our computational resources more efficiently. Manycore architectures, such as NVIDIA GPUs or Intel Xeon Phi offer new opportunities to enhance scientific computations, increasing the performance per watt, but shifting to a different programming model. This paper shows the roadmap to use massively parallel architectures in a 3D-FD simulation. We evaluate the latest generation of NVIDIA and Intel architectures. Our experimental results reveal that NVIDIA architectures outperform by a wide margin the Intel Xeon Phi co-processor while dissipating approximately 50W less (25%) for large-scale input problems.
Year
DOI
Venue
2015
10.1016/j.compeleceng.2015.07.001
Computers & Electrical Engineering
Keywords
Field
DocType
NVIDIA GPUs,Intel Xeon Phi,Room acoustics simulation,Acoustic diffusion equation model,CUDA,OpenMP
MATLAB,Programming paradigm,CUDA,Xeon Phi,Computer science,Massively parallel,Parallel computing,Computational science,Performance per watt,Room acoustics,Diffusion equation
Journal
Volume
Issue
ISSN
46
C
0045-7906
Citations 
PageRank 
References 
2
0.39
7
Authors
6
Name
Order
Citations
PageRank
Mario Hernández120.73
Baldomero Imbernon2126.48
Juan M. Navarro381.51
jose m garcia410513.66
Juan Manuel Cebrian52410.19
José M. Cecilia616622.28