High-performance multi-GPU solver for describing nonlinear acoustic waves in homogeneous thermoviscous media

Diaz, Manuel A.; Solovchuk, Maxim; Sheu, Tony W. H.

doi:10.1016/j.compfluid.2018.03.008

Cited by 9 publications

(4 citation statements)

References 15 publications

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“…At high intensities, the effects of nonlinear wave propagation become important and lead to a distortion of the waveform. Higher harmonics are generated due to the nonlinear distortion [39] , and a shock wave can form [50] , [51] . These nonlinear harmonics may affect the values of the predicted threshold pressures.…”

Section: Discussionmentioning

confidence: 99%

GPU-accelerated study of the inertial cavitation threshold in viscoelastic soft tissue using a dual-frequency driving signal

Filonets

Solovchuk

2022

Ultrasonics Sonochemistry

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Section: Discussionmentioning

confidence: 99%

GPU-accelerated study of the inertial cavitation threshold in viscoelastic soft tissue using a dual-frequency driving signal

Filonets

Solovchuk

2022

Ultrasonics Sonochemistry

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“…From the available initial value problem solvers, the RKCK45 method was chosen, which is based on the fourth-order Runge–Kutta–Cash–Karp method with fifth-order error estimation. The high processing power of GPUs enables to carry out a considerable amount of numerical simulations within a reasonable time [100] , [101] , [102] .…”

Section: Numerical Techniquementioning

confidence: 99%

Numerical investigation of the translational motion of bubbles: The comparison of capabilities of the time-resolved and the time-averaged methods

Klapcsik

Hegedűs

2023

Ultrasonics Sonochemistry

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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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High-performance multi-GPU solver for describing nonlinear acoustic waves in homogeneous thermoviscous media

Cited by 9 publications

References 15 publications

GPU-accelerated study of the inertial cavitation threshold in viscoelastic soft tissue using a dual-frequency driving signal

GPU-accelerated study of the inertial cavitation threshold in viscoelastic soft tissue using a dual-frequency driving signal

Numerical investigation of the translational motion of bubbles: The comparison of capabilities of the time-resolved and the time-averaged methods

Productivity, performance, and portability for computational fluid dynamics applications

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