View, browse and sort the ever-growing list of sessions by pass type, track, and format. With this Session Scheduler, you can build your schedule in advance and access it during the show via export or with the GDC Mobile App, once live. Sessions do fill up so please arrive early to sessions that you would like to attend. Adding a session to your schedule does not guarantee you a seat.
Michael Buttner (Principal Research Engineer, Unity Technologies)
Pass Type: All Access, GDC Conference + Summits, GDC Summits - Get your pass now!
Tutorials: Math for Game Developers
Vault Recording: TBD
Neural networks are gaining attention due to their ability to solve difficult problems. But they are still not very often used to solve problems in real-time scenarios. The majority of practical examples are focused on image processing and very few examples focus on neural network inference in high-performance applications. In this presentation, the speaker will show practical examples of how to use neural networks in performance-critical code. The presentation will take a deep dive and show neural network training and inference without using any frameworks or math libraries. Instead, the talk is going to focus on bare metal C++ using a data-oriented approach and optimized SSE implementations.
The takeaway for attendees is to learn how to leverage neural networks in performance-critical scenarios and how to write an efficient inference engine without using any frameworks or math libraries using data-oriented design principles.
This talk is for gameplay and engine programmers that are interested in using neural networks.