| Autor: |
Ben-Nun, Tal, Groner, Linus, Deconinck, Florian, Wicky, Tobias, Davis, Eddie, Dahm, Johann, Elbert, Oliver D., George, Rhea, McGibbon, Jeremy, Trümper, Lukas, Wu, Elynn, Fuhrer, Oliver, Schulthess, Thomas, Hoefler, Torsten |
| Rok vydání: |
2022 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| Popis: |
Earth system models are developed with a tight coupling to target hardware, often containing specialized code predicated on processor characteristics. This coupling stems from using imperative languages that hard-code computation schedules and layout. We present a detailed account of optimizing the Finite Volume Cubed-Sphere Dynamical Core (FV3), improving productivity and performance. By using a declarative Python-embedded stencil domain-specific language and data-centric optimization, we abstract hardware-specific details and define a semi-automated workflow for analyzing and optimizing weather and climate applications. The workflow utilizes both local and full-program optimization, as well as user-guided fine-tuning. To prune the infeasible global optimization space, we automatically utilize repeating code motifs via a novel transfer tuning approach. On the Piz Daint supercomputer, we scale to 2,400 GPUs, achieving speedups of up to 3.92x over the tuned production implementation at a fraction of the original code. |
| Databáze: |
arXiv |
| Externí odkaz: |
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