Exploring the relationship between computational architecture and deep learning algorithms
This talk will look at how deep learning algorithms have evolved alongside contemporary computational architectures. It will touch on the how architectural characteristics can influence the feasibility of different algorithmic approaches and how changing architectural choices can enable new innovation.
Phil leads Graphcore’s Field Engineering team which acts as the focal point for technical engagements with our customers. Prior to joining Graphcore, Phil worked for Cray Inc. in a number of roles, including leading their engagement with the weather forecasting and climate research customers worldwide and as a technical architect. Phil holds a PhD in Computational Chemistry from the University of Bristol.