NDLI: An Efficient Compressible Multicomponent Flow Solver for Heterogeneous CPU/GPU Architectures

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An Efficient Compressible Multicomponent Flow Solver for Heterogeneous CPU/GPU Architectures

Content Provider	ACM Digital Library
Author	Rossinelli, Diego Hadjidoukas, Panagiotis Koumoutsakos, Petros Hejazialhosseini, Babak Wermelinger, Fabian
Abstract	We present a solver for three-dimensional compressible multicomponent flow based on the compressible Euler equations. The solver is based on a finite volume scheme for structured grids and advances the solution using an explicit Runge-Kutta time stepper. The numerical scheme requires the computation of the flux divergence based on an approximate Riemann problem. The computation of the divergence quantity is the most expensive task in the algorithm. Our implementation takes advantage of the compute capabilities of heterogeneous CPU/GPU architectures. The computational problem is organized in subdomains small enough to be placed into the GPU memory. The compute intensive stencil scheme is offloaded to the GPU accelerator while advancing the solution in time on the CPU. Our method to implement the stencil scheme on the GPU is not limited to applications in fluid dynamics. The performance of our solver was assessed on Piz Daint, a XC30 supercomputer at CSCS. The GPU code is memory-bound and achieves a per-node performance of 462Gflop/s, outperforming by 3.2x the multicore-based Gordon Bell winning CUBISM-MPCF solver [16] for the offloaded computation on the same platform. The focus of this work is on the per-node performance of the heterogeneous solver. In addition, we examine the performance of the solver across 4096 compute nodes. We present simulations for the shock-induced collapse of an aligned row of air bubbles submerged in water using 4 billion cells. Results show a final pressure amplification that is 100x stronger than the strength of the initial shock.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781450341264
DOI	10.1145/2929908.2929914
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-06-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Shock-induced bubble collapse Compute accelerators Heterogeneous architectures Cavitation Compressible multicomponent flow Gpgpu Texture memory
Content Type	Text
Resource Type	Article

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