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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.
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)
Google JamBoard for Q&A: note down questions/comments (using JamBoard Sticky Notes) before/during the event.
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 lunchbytes-organisers-group@sheffield.ac.uk.
For queries relating to collaborating with the RSE team on projects: rse@sheffield.ac.uk
Information and access to JADE II and Bede.
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Queries regarding free research computing support/guidance should be raised via our Code clinic or directed to the University IT helpdesk.