Structured mesh-oriented framework design and optimization for a coarse-grained parallel CFD solver based on hybrid MPI/OpenMP programming

He, Feng; Dong, Xiaoshe; Zou, Nianjun; Wu, Weiguo; Zhang, Xingjun

doi:10.1007/s11227-019-03063-6

Cited by 8 publications

(6 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, the MPI/OpenMP hybrid parallel model is generally used in the development of internal programs to reduce the MPI communication cost and optimize the operation efficiency. 34,35 Compared with the monolithic approach, the parallel performance of the partitioned approach is more difficult to improve. The partitioned approach involves the coupling communication between multiple solver processes, which will lead to complex load balancing and communication bottleneck problems.…”

Section: 3mentioning

confidence: 99%

“…In this approach, the parallel performance optimization method is the same as the single physical field solution, including MPI communication optimization, multithreading optimization, GPU optimization, vectorization and so on. In particular, the MPI/OpenMP hybrid parallel model is generally used in the development of internal programs to reduce the MPI communication cost and optimize the operation efficiency 34,35 …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A large scale parallel fluid‐structure interaction computing platform for simulating structural responses to a detonation shock

Zhang

Guo

et al. 2021

Softw Pract Exp

View full text Add to dashboard Cite

Due to the intrinsic nature of multi-physics, it is prohibitively complex to design and implement a simulation software platform for study of structural responses to a detonation shock. In this article, a partitioned fluid-structure interaction computing platform is designed for parallel simulating structural responses to a detonation shock. The detonation and wave propagation are modeled in an open-source multi-component solver based on OpenFOAM and blastFoam, and the structural responses are simulated through the finite element library deal.II.To capture the interaction dynamics between the fluid and the structure, both solvers are adapted to preCICE. For improving the parallel performance of the computing platform, the inter-solver data is exchanged by peer-to-peer communications and the intermediate server in conventional multi-physics software is eliminated. Furthermore, the coupled solver with detonation support has been deployed on a computing cluster after considering the distributed data storage and load-balancing between solvers. The 3D numerical result of structural responses to a detonation shock is presented and analyzed. On 256 processor cores, the speedup ratio of the simulations for a detonation shock reach 178.0 with 5.1 million of mesh cells and the parallel efficiency achieve 69.5%. The results demonstrate good potential of massively parallel simulations. Overall, a general-purpose fluid-structure interaction software platform with detonation support is proposed by integrating open source codes. And this work has important practical significance for engineering application in fields of construction blasting, mining, and so forth.

show abstract

Section: 3mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A large scale parallel fluid‐structure interaction computing platform for simulating structural responses to a detonation shock

Zhang

Guo

et al. 2021

Softw Pract Exp

View full text Add to dashboard Cite

show abstract

“…Feng He et al [11] designed a coarse-grained MPI/OpenMP hybrid parallelism CFD solver framework. This solver framework overlapped nonblocking MPI communication with OpenMP shared memory communication.…”

Section: Introductionmentioning

confidence: 99%

An efficient communication strategy for massively parallel computation in CFD

Wan

Zhang

et al. 2022

J Supercomput

View full text Add to dashboard Cite

With the growing computing power of high-performance computers, efficient parallel algorithms are becoming increasingly important in the development of Computational Fluid Dynamics(CFD). This research presents a novel parallel strategy based on asynchronous and package communication. This strategy tries to enhance the performance of large-scale computation for realistic complex geometry. The new strategy aggregates all communications and only requires communication once at each iteration step. Convergence of the new strategy is also proved and validated. Three numerical experiments demonstrates the exceptional parallel performance of the novel strategy in simulating complex geometry. When the number of CPU cores approach 26 thousand, strong scale parallel efficiency still remains at 74% based on 10.5 billion mesh elements. With 179,200 CPU cores and 10 billion mesh elements, weak scale parallel efficiency maintains at 90%. This research demonstrates that large-scale parallel computation can be applied efficiently in numerical simulation of a complex aircraft.

show abstract

“…With the rapid increase in performance of processor and memory technologies and current research in the HPC domain [10], further increases in efficiency and cost reductions are highly probable. Combined with progressive development of computational methodologies [11,12], this opens new potential for product development [13]. Unfortunately, the tendency of SMEs to use HPC is low.…”

Section: Introductionmentioning

confidence: 99%

Impact of HPC and Automated CFD Simulation Processes on Virtual Product Development—A Case Study

et al. 2021

View full text Add to dashboard Cite

High-performance computing (HPC) enables both academia and industry to accelerate simulation-driven product development processes by providing a massively parallel computing infrastructure. In particular, the automation of high-fidelity computational fluid dynamics (CFD) analyses aided by HPC systems can be beneficial since computing time decreases while the number of significant design iterations increases. However, no studies have quantified these effects from a product development point of view yet. This article evaluates the impact of HPC and automation on product development by studying a formula student racing team as a representative example of a small or medium-sized company. Over several seasons, we accompanied the team, and provided HPC infrastructure and methods to automate their CFD simulation processes. By comparing the team’s key performance indicators (KPIs) before and after the HPC implementation, we were able to quantify a significant increase in development efficiency in both qualitative and quantitative aspects. The major aerodynamic KPI increased up to 115%. Simultaneously, the number of expedient design iterations within one season increased by 600% while utilizing HPC. These results prove the substantial benefits of HPC and automation of numerical-intensive simulation processes for product development.

show abstract

Structured mesh-oriented framework design and optimization for a coarse-grained parallel CFD solver based on hybrid MPI/OpenMP programming

Cited by 8 publications

References 22 publications

A large scale parallel fluid‐structure interaction computing platform for simulating structural responses to a detonation shock

A large scale parallel fluid‐structure interaction computing platform for simulating structural responses to a detonation shock

An efficient communication strategy for massively parallel computation in CFD

Impact of HPC and Automated CFD Simulation Processes on Virtual Product Development—A Case Study

Contact Info

Product

Resources

About