Load Balancing for Parallel Multiphase Flow Simulation
Joint Authors
Ahmad, Najeeb
Farooqi, Muhammad Nufail
Unat, Didem
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper presents a scalable dynamic load balancing scheme for a parallel front-tracking method based multiphase flow simulation.
In this simulation employing both Lagrangian and Eulerian grids, processes operating on Lagrangian grid are susceptible to load imbalance due to moving Lagrangian grid points (bubbles) and load distribution based on spatial location of bubbles.
To load balance these processes, we distribute load keeping in view both current processor load distribution and bubble spatial locality and remap interprocess communication.
The result is a uniform processor load distribution and predictable and less expensive communication scheme.
Scalability studies on the Hazel Hen supercomputer demonstrate excellent scaling with exponential savings in execution time as the problem size becomes increasingly large.
While moderate speedup is observed for strong scaling, speedup of up to 30% is achieved over nonload-balanced version when simulating 13824 bubbles on 4096 cores for weak scaling studies.
American Psychological Association (APA)
Ahmad, Najeeb& Farooqi, Muhammad Nufail& Unat, Didem. 2018. Load Balancing for Parallel Multiphase Flow Simulation. Scientific Programming،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1214728
Modern Language Association (MLA)
Ahmad, Najeeb…[et al.]. Load Balancing for Parallel Multiphase Flow Simulation. Scientific Programming No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1214728
American Medical Association (AMA)
Ahmad, Najeeb& Farooqi, Muhammad Nufail& Unat, Didem. Load Balancing for Parallel Multiphase Flow Simulation. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1214728
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214728