Partition deactivation with load balancing for parallel flow simulations

An algorithm is presented to save CPU time by dynamically deactivating partitions of a decomposed computational mesh during parallel flow simulations. The procedure targets classes of problems where the propagation behavior, inherent in the equations solved, can be exploited, such as detonation or scalar transport. Combined with dynamic load balancing based on real-time CPU-measurement, available, e.g., by coding the solver using the Charm++ runtime system, yields considerable savings in solution times for both shared-, and distributed-memory calculations. The complete source code is available at https://xyst.cc . • An algorithm is presented to save CPU time during parallel flow simulations by deactivating mesh partitions. • Combined with CPU-based load balancing the procedure is demonstrated to yield considerable savings in time-to-solution. • The complete source code is available at https://xyst.cc .

Authors

Institutions

Publication Details

Journal
Journal of Computational Physics
Published
2024-09-03
DOI
https://doi.org/10.1016/j.jcp.2024.113387
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Partition deactivation with load balancing for parallel flow simulations

József Bakosi
Journal of Computational Physics
Computational Fluid Dynamics and Aerodynamics
article

Partition deactivation with load balancing for parallel flow simulations

József Bakosi
article en

Abstract

An algorithm is presented to save CPU time by dynamically deactivating partitions of a decomposed computational mesh during parallel flow simulations. The procedure targets classes of problems where the propagation behavior, inherent in the equations solved, can be exploited, such as detonation or scalar transport. Combined with dynamic load balancing based on real-time CPU-measurement, available, e.g., by coding the solver using the Charm++ runtime system, yields considerable savings in solution times for both shared-, and distributed-memory calculations. The complete source code is available at https://xyst.cc . • An algorithm is presented to save CPU time during parallel flow simulations by deactivating mesh partitions. • Combined with CPU-based load balancing the procedure is demonstrated to yield considerable savings in time-to-solution. • The complete source code is available at https://xyst.cc .

Journal of Computational PhysicsVol. 519
Széchenyi István University (HU)
European Commission, Jacobs University
Affordable and clean energy
Openalex Percentile: Top 84%
Computational Fluid Dynamics and Aerodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Partition deactivation with load balancing for parallel flow simulations — József Bakosi · Journal of Computational Physics (2024) | TGRS Research Map | TGRS