| Autor: |
Cojean, Terry, Nayak, Pratik, Ribizel, Tobias, Beams, Natalie, Mike Tsai, Yu-Hsiang, Koch, Marcel, Göbel, Fritz, Grützmacher, Thomas, Anzt, Hartwig |
| Předmět: |
|
| Zdroj: |
International Journal of High Performance Computing Applications; Nov2024, Vol. 38 Issue 6, p568-584, 17p |
| Abstrakt: |
Large-scale simulations require efficient computation across the entire computing hierarchy. A challenge of the Exascale Computing Project (ECP) was to reconcile highly heterogeneous hardware with the myriad of applications that were required to run on these supercomputers. Mathematical software forms the backbone of almost all scientific applications, providing efficient abstractions and operations that are crucial to harness the performance of computing systems. G inkgo is one such mathematical software library, nurtured by ECP, providing high-performance, user-friendly, and performance portable interfaces for applications in ECP and beyond. In this paper, we elaborate on G inkgo 's philosophy of high-performance software that is sustainable, reproducible, and easy to use. We showcase the wide feature set of solvers and preconditioners available in G inkgo and the central concepts involved in their design. We elaborate on four different ECP software integrations: MFEM, PeleLM + SUNDIALS, XGC, and ExaSGD that use G inkgo to accelerate their science runs. Performance studies of different problems from these applications highlight the effectiveness of G inkgo and the benefits incurred by these ECP applications. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
