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View file
nameStateOfPerf_E3SM_AllHands_2023.pdf

...

MLemulation1.pptx
  • WaterCycle Autotuning recap (Wagman)

  • Land Calibration/UQ (Sargsyan)

Sargsyan_ELM_ML.pdf
  • , Shand, Yarger)

  • ML source terms for waves (Thomas, Brus)

  • <open slot>

  • <open slot>

Duration

Title

Speaker

Virtual

8:00

20 min

/wiki/spaces/EP/pages/3664675290 highlights across the project

View file
nameStateOfPerf_E3SM_AllHands_2023.pdf
View file
nameInvalid file id - 27db7709-4113-444d-9e68-e25cf5bc603a

Sarat Sreepathi + /wiki/spaces/EP/pages/3737845778

8:20

15 min

A Tuning Experiment with Scream on Frontier

View file
nameScream on Frontier.pdf

Trey White (Unlicensed)(Cray/HPE)

Yes

8:35

25 min

Machine Learning in E3SM and E3SM ecosystem projects: Please contact Andy if you would like to give a 1-slide 2-min lightning talk on your ML work related to E3SM. Lightning talks (2min

View file
nameML_Breakout_Salinger.pptx

Salinger Intro to ML Crosscut: (4 min)

(10min) Lightning talks (2 min each):

  • E3SM Emulation (Caldwell)

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name
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name
View file
nameAIML_E3SM_autotuning.pptx

(10min)
  • Land Calibration/UQ (Sargsyan --Virtual)

Discussion of ML opportunities.crosscut, opportunities (8 min)

Andy Salinger

No

Yes

Yes

No

Yes

Related talks (moved to Infrastructure, Performance and Data Group Breakouts: 2023-06 )

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