Improving performance for simulating complex fluids on massively parallel computers by component loop-unrolling and communication hiding

Guo, Xijing; Li, Chao; Li, Wei; Cao, Yu; Liu, Yi; Zhao, Ran; Zhang, Sen; Yang, Chi

doi:10.1109/hpcc-smartcity-dss50907.2020.00017

2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference On 2020

DOI: 10.1109/hpcc-smartcity-dss50907.2020.00017

|View full text |Cite

Improving performance for simulating complex fluids on massively parallel computers by component loop-unrolling and communication hiding

Xijing Guo

Chao Li

Wei Li³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Accelerating FVM-Based Parallel Fluid Simulations with Better Grid Renumbering Methods

Zhang

Guo

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

Grid renumbering techniques have been shown to be effective in improving the efficiency of computational fluid dynamics (CFD) numerical simulations based on the finite volume method (FVM). However, with the increasing complexity of real-world engineering scenarios, there is still a huge challenge to choose better sequencing techniques to improve parallel simulation performance. This paper designed an improved metric (MDMP) to evaluate the structure of sparse matrices. The metric takes the aggregation of non-zero elements inside the sparse matrix as an evaluation criterion. Meanwhile, combined with the features of the cell-centered finite volume method supporting unstructured grids, we proposed the cell quotient (CQ) renumbering algorithm to further reduce the maximum bandwidth and contours of large sparse matrices with finite volume discretization. Finally, with real-world engineering cases, we quantitatively analyzed the evaluation effect of MDMP and the optimization effect of different renumbering algorithms. The results showed that the classical greedy algorithm reduces the maximum bandwidth of the sparse matrix by at most 60.34% and the profile by 95.38%. Correspondingly, the CQ algorithm reduced them by at most 92.94% and 98.70%. However, in terms of MDMP, the CQ algorithm was 83.43% less optimized than the Greedy algorithm. In terms of overall computational speed, the Greedy algorithm was optimized by a maximum of 38.19%, and the CQ algorithm was optimized by a maximum of 27.31%. The above is in accordance with the evaluation results of the MDMP metric. Thus, our new metric can more accurately evaluate the renumbering method for numerical fluid simulations, which is of great value in selecting a better mesh renumbering method in engineering applications of CFD.

show abstract

Accelerating FVM-Based Parallel Fluid Simulations with Better Grid Renumbering Methods

Zhang

Guo

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Improving performance for simulating complex fluids on massively parallel computers by component loop-unrolling and communication hiding

Cited by 1 publication

References 20 publications

Accelerating FVM-Based Parallel Fluid Simulations with Better Grid Renumbering Methods

Accelerating FVM-Based Parallel Fluid Simulations with Better Grid Renumbering Methods

Contact Info

Product

Resources

About