Development of a finite element flow solver for solving three-dimensional incompressible Navier–Stokes solutions on multiple GPU cards

Kao, Neo Shih-Chao; Sheu, Tony W. H.

doi:10.1016/j.compfluid.2018.03.033

Cited by 5 publications

(1 citation statement)

References 10 publications

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“…The significant impact of this decision has today changed conventional wisdoms in programming parallel high-performance computing systems [2]. If we specifically focus on Computational Fluid Dynamics (CFD), there are indeed a large number of codes ported to utilize GPUs [3,4,5,6,7,8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Productivity, performance, and portability for computational fluid dynamics applications

Reguly

Mudalige

2020

Computers & Fluids

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Hardware trends over the last decade show increasing complexity and heterogeneity in high performance computing architectures, which presents developers of CFD applications with three key challenges; the need for achieving good performance, being able to utilise current and future hardware by being portable, and doing so in a productive manner. These three appear to contradict each other when using traditional programming approaches, but in recent years, several strategies such as template libraries and Domain Specific Languages have emerged as a potential solution; by giving up generality and focusing on a narrower domain of problems, all three can be achieved. This paper gives an overview of the state-of-the-art for delivering performance, portability, and productivity to CFD applications, ranging from highlevel libraries that allow the symbolic description of PDEs to low-level techniques that target individual algorithmic patterns. We discuss advantages and challenges in using each approach, and review the performance benchmarking literature that compares implementations for hardware architectures and their programming methods, giving an overview of key applications and their comparative performance.

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