Deep Learning at scale: SC17 talk
Posted: 8 Nov 2017 | 10:13
Are you interested in using machine learning for something big enough to need supercomputing resources?
Have you worked on, or with, one of the Deep Learning frameworks, like TensorFlow or Caffe?
Are you just curious about the state-of-the-art at the crossover between AI and HPC?
At SC17 next week, on Sunday 12th November as part of the ESPM2 workshop, there will be a panel discussion about “Effective Programming Models for Deep Learning at scale” where experts in the field will talk about what has already been achieved and what still needs to be done.
Come along to get up to speed on this important HPC topic, or to join in the discussion with your own questions or suggestions.
We’ll initially consider how to attract and train more Deep Learning experts, but we’ll move on to other concerns depending on audience participation. What practical programming techniques (specifically, programming models and middleware options) should we be teaching new recruits in this area? What existing knowledge and experience (from HPC or elsewhere) should existing practitioners be leveraging?
See you there!
Dan Holmes, EPCC