Performance Optimization of Implementation of Lattice Boltzmann Method in ARUZ

Author(s):  
Grzegorz Jablonski ◽  
Joanna Kupis
2013 ◽  
Vol 24 (12) ◽  
pp. 1340011 ◽  
Author(s):  
ANIRUDDHA G. SHET ◽  
K. SIDDHARTH ◽  
SHAHAJHAN H. SORATHIYA ◽  
ANAND M. DESHPANDE ◽  
SUNIL D. SHERLEKAR ◽  
...  

We present a vector-friendly blocked computing strategy for the lattice Boltzmann method (LBM). This strategy, along with a recently developed data structure, Structure of Arrays of Structures (SoAoS), is implemented for multi-relaxation type lattice Boltzmann (LB). The proposed methodology enables optimal memory bandwidth utilization in the advection step and high compute efficiency in the collision step of LB implementation. In a dense computing environment, current performance optimization framework for LBM is able to achieve high single-core efficiency.


2017 ◽  
Vol 20 (10) ◽  
pp. 899-919 ◽  
Author(s):  
Sajjad Foroughi ◽  
Mohsen Masihi ◽  
Saeid Jamshidi ◽  
Mahmoud Reza Pishvaie

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