Designing a graphics processing unit accelerated petaflop capable lattice Boltzmann solver: Read aligned data layouts and asynchronous communication

作者：Robertsen Fredrik; Westerholm Jan; Mattila Keijo

来源：International Journal of High Performance Computing Applications, 2017, 31(3): 246-255.

DOI：10.1177/1094342016658109

• Lattice Boltzmann
• graphics processing unit
• Titan
• asynchronous communication
• memory alignment
• data layout
• large-scale I
• O
• load balance

The lattice Boltzmann method is a well-established numerical approach for complex fluid flow simulations. Recently, general-purpose graphics processing units (GPUs) have become available as high-performance computing resources at large scale. We report on designing and implementing a lattice Boltzmann solver for multi-GPU systems that achieves 1.79 PFLOPS performance on 16,384 GPUs. To achieve this performance, we introduce a GPU compatible version of the so-called bundle data layout and eliminate the halo sites in order to improve data access alignment. Furthermore, we make use of the possibility to overlap data transfer between the host central processing unit and the device GPU with computing on the GPU. As a benchmark case, we simulate flow in porous media and measure both strong and weak scaling performance with the emphasis being on large-scale simulations using realistic input data.

• 出版日期2017-6