Ryan Maffesoli, Sr. Solutions Engineer at Perforce, demonstrates workflow best practices and common pitfalls seen through Helix Core and Unreal Engine deployments for studios big and small — including his admin support of Epic’s 4000-person global art jam (Project Titan). Ryan teaches you all the save-your-bacon tools, tips, and techniques he’s learned over the years, so that you can improve your onboarding and keep your creative projects running smoothly and securely.

As you continue to push the boundaries of the next-gen graphics features of UE5, you may find yourself in unexplored territory with an overloaded backpack and nary a trail marker in sight. How do you find your way back to the trail? Should you be changing how you pack your bag for the trek? Was there anything you could have done before you set out to make things easier? Let’s dive deeper into debugging Nanite, Lumen, and VSM performance issues so that we can get back on to the trail. Then, we’ll learn more about managing the memory of our new graphics features, including how we can leverage virtual texturing to make sure our pack is properly balanced. Along the way we’ll learn about what we can do to make sure we’re staying on track far into the future.

In this talk, Tanglewood Games will dive into the Game Thread in UE5 and explore how we can profile and optimize this.

When you are dealing with assets, it’s easy for dependency chains to get out of hand. And sadly, you don't always notice them until they become a big problem. In this talk aimed at programmers and Blueprinters, Lucid Games’ Studio Technical Director Mark Craig shares tricks developed at the company for spotting, analyzing, and fixing such problems—so you don't make the same mistakes.

Everyone on your team should be able to gauge the performance impact of their work. In this session, Unreal Engine Evangelist Ari Arnbjörnsson uses the new built-in tools of Unreal Engine 5 to find nasty performance traps and bugs he deliberately planted in his demo project before the presentation.

Debugging GPU crashes on PC can be challenging. We'll go over best practices and the tools available in Unreal Engine to debug such crashes. This includes a new GPU breadcrumbs system, which provides the equivalent of a GPU “callstack.” Additionally, we'll examine case studies and discuss classification tools we use internally to automate crash grouping in Jira. This approach allows us to focus on the most critical crashes, eliminating the need for manual digging through logs.

An interesting talk about an internal plugin at Gearbox for testing.