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The 2019 ESIP Winter Meeting has passed. See session descriptions to access meeting content, including presentations, recordings, and key takeaways. See here for info on upcoming meetings.
Tuesday, January 15 • 2:00pm - 3:30pm
Scaling Machine Learning Applications in Earth Sciences

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This panel will focus on scalable architectures for implementing machine learning and AI models across Earth Sciences focus areas. The specific details would include both HPC and cloud-centric operational pipelines for automated data processing, parallel multi-GPU model implementations, cluster scheduling, resource optimization and time to delivery - a few tools of discussion can focus around DC/OS, Terraform/Nomad, and Kubernetes. In addition to compute constraints, the panel also encourages discussion on ML framework optimizations and operational complexity, including available frameworks and workflow tools like Tensorflow, Mxnet, Pytoch, Google ML pipeline, AWS Sagemaker and others. GPU hardware optimization is another topic of interest where the panel will focus on how new generation GPU’s (with more CUDA cores) are able to perform faster training as opposed to old generation GPUs.





Tuesday January 15, 2019 2:00pm - 3:30pm
Salon A-C
  • Area Machine Learning, High Performance Computing, Cloud
  • Remote Participation Link: https://global.gotomeeting.com/join/144286725
  • Remote Participation Phone #: United States: +1 (571) 317-3117 Access Code: 144-286-725 Australia: +61 2 9091 7603 Austria: +43 7 2081 5337 Belgium: +32 28 93 7002 Canada: +1 (647) 497-9373 Denmark: +45 32 72 03 69 Finland: +358 923 17 0556 France: +33 170 950 590 Germany: +49 692 5736 7300 Ireland: +353 15 360 756 Italy: +39 0 230 57 81 80 Netherlands: +31 202 251 001 New Zealand: +64 9 913 2226 Norway: +47 21 93 37 37 Spain: +34 932 75 1230 Sweden: +46 853 527 818 Switzerland: +41 225 4599 60 United Kingdom: +44 330 221 0097
  • Remote Participation Access Code 144-286-725
  • Session Recording: https://esip.sharefile.com/d-s7c3e8c88dd44988b

Attendees (19)