LunchBytes is a new monthly series of short talks for those in the research community at TUOS who work with/write code, use/manage research data and use/manage research infrastructure. We hope through these talks we will come together as a community to discuss best practices and useful methods/tools.
At this LunchBytes event we’ll be exploring the process of accelerating machine learning on the cloud and using machine learning to accelerate physics simulations.
Google JamBoard for Q&A: note down questions/comments (using JamBoard Sticky Notes) before/during the event.
Phil Tooley, HPC Analyst, NAG
For new users the cloud can be a complex and overwhelming environment, even for experienced users of traditional HPC and on-premises computing. In this talk I will look at some of the common issues experienced when deploying machine learning training in the cloud, and how to get going quickly and efficiently. I will share my own experiences of performing distributed ML training on Microsoft Azure, including what worked, what didn’t, and what I wish someone had told me before I started!
Filippo Spiga, EMEA HPC Developer Relations, Nvidia
Accelerating physics and engineering using Physics Informed Neural Network (PINN)
This lunchBytes session will be run at the following Google meet (https://meet.google.com/anf-oxok-xsp) which is open to members of the University of Sheffield. If you would like to attend and do not have a Sheffield account, please contact the organisers by email at email@example.com.
For queries relating to collaborating with the RSE team on projects: firstname.lastname@example.org
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