#6066. Projecting LBM performance on Exascale class Architectures: A tentative outlook
October 2026 | publication date |
Proposal available till | 22-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
|
|
Journal’s subject area: |
Modeling and Simulation;
Computer Science (all);
Theoretical Computer Science; |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
Abstract:
In the next years, the first Exascale class supercomputers will go online. In this paper, we portray a prospective Exascale scenario for a Lattice Boltzmann (LB) code, based on the performance obtained exploiting an up-to-date Petascale HPC facility. Although extrapolation is always a perilous exercise, in this work we aim to lay down a few guidelines to help the LBM community to carefully plan larger and more complex simulations using the forthcoming Exascale supercomputer machines.
Keywords:
Exascale class supercomputer; GPU acceleration; High performance computing; Lattice Boltzmann method
Contacts :