Publications Details

Assessment of ESM Readiness Level for Exascale HPC

Carmin, Jessie; Elbert, Oliver; Giraldo, Frank; Govett, Mark; Harris, Lucas; Hauser, Thomas; Mccarren, David; Mouallem, Joseph; Olsen, Mark A.; Ringler, Todd; Sreepathi, Sarat; Taylor, Mark A.

Advancement of Earth System Models (ESMs) is becoming increasingly challenging due to a confluence of factors including increasing model complexity – to more fully represent the earth system, increasing spatial resolution - to achieve higher accuracy by resolving fine-scale dynamical to physical, biological, and chemical processes and their interaction, increasing ensemble size - to more accurately represent predictive uncertainty, and increased computing requirements – to enable more accurate and timely weather predictions and climate projections for societal benefit. The belief by many that computing will take care of itself is no longer valid given the disruptive changes in HPC that are driving up the cost of computing, increasing the difficulty of using emerging HPC effectively, and exposing limits in parallelism, portability and scalability of the ESM applications themselves.