Abstract
In situ adaptive tabulation (ISAT) can significantly accelerate combustion simulations. However, in parallel computing, every processor has to maintain its own ISAT table, thus wasting a lot of memory. We propose to develop a parallel ISAT using shared memory with hybrid MPI+MPI model. A concurrent data structure is developed to ensure high efficiency and thread-safety when manage the shared-memory. A serial of 2D counter-flow diffusion flame simulation are conducted to test the performance of parallel ISAT. The simulations shows that the memory requirement of new parallel ISAT is lower than the original ISAT. Meanwhile, it can bring higher computational efficiency.
| Original language | English (US) |
|---|---|
| Title of host publication | AIAA SciTech Forum 2022 |
| Publisher | American Institute of Aeronautics and Astronautics Inc, AIAA |
| ISBN (Print) | 9781624106316 |
| DOIs | |
| State | Published - 2022 |
| Event | AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 - San Diego, United States Duration: Jan 3 2022 → Jan 7 2022 |
Publication series
| Name | AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 |
|---|
Conference
| Conference | AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 |
|---|---|
| Country/Territory | United States |
| City | San Diego |
| Period | 1/3/22 → 1/7/22 |
Bibliographical note
Funding Information:S. Yang acknowledges the faculty start-up funding from the University of Minnesota. H. Zhang acknowledges the support from the 3M Science and Technology Doctoral Fellowship and the Frontera Computational Science Fellowship.
Publisher Copyright:
© 2022, American Institute of Aeronautics and Astronautics Inc. All rights reserved.