A modern solver interface to manage solution algorithms in the Community Earth System Model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Global Earth System Models (ESMs) can now produce simulations that resolve ~50 km features and include finer scale, interacting physical processes. However, the current explicit algorithms that dominate production ESMs require ever-decreasing time steps in order to achieve these fine-resolution solutions, which limits time to solution even when efficiently exploiting the spatial parallelism. Solution methods that overcome these bottlenecks can be quite intricate, and there is no single set of algorithms that perform well across the range of problems of interest. This creates significant implementation challenges, which is further compounded by the complexity of ESMs. Therefore, prototyping and evaluating new algorithms in these models requires a software interface that is flexible, extensible, and easily introduced into the existing software. We describe our efforts to create a parallel solver interface that links the Trilinos collection of solver libraries to the Glimmer Community Ice Sheet Model (Glimmer-CISM), a continental ice-sheet model used in the Community Earth System Model (CESM). We demonstrate this interface within both current and developmental versions of Glimmer-CISM and provide strategies for its integration into the rest of the CESM.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it