Roku Engineering Symposium

About this Exclusive Invite Only Event

Roku Denmark will again this year host a Symposium with exciting speakers. This year we have the pleasure of a visit from Bryce Adelstein Lelbach and Conor Hoekstra from NVIDIA.

A bit about Bryce:

Bryce Adelstein Lelbach has spent over a decade developing programming languages, compilers, and software libraries. He is passionate about parallel programming and strives to make it more accessible for everyone.
Bryce is a Principal Architect at NVIDIA, where he leads programming language efforts and drives the technical roadmap for NVIDIA's compute compilers and libraries.

He is one of the leaders of the systems programming language community, having served as chair of the Standard C++ Library Evolution group and the US standards committee for programming languages (INCITS/PL22). He has been an organizer and program chair for many conferences over the years. He previously worked at Lawrence Berkeley National Laboratory and Louisiana State University.

A bit about Conor:

Conor (he/him) is a Research Scientist at NVIDIA working on array programming models and languages. He is extremely passionate about programming languages, algorithms and beautiful code. He is the founder and organizer of the Programming Languages Virtual Meetup, he has a YouTube channel and is the host of three podcasts:

• ADSP (a podcast about algorithms, software and more)
• ArrayCast (a podcast about array languages)
• Tacit Talk (a podcast about array languages and tacit programming)

Conor is also an avid conference speaker. You can find all of Conor’s conference talks and podcast appearances (on other podcasts) here.

Bryce will be presenting the following:

Getting the most out of your GPU with C++ doesn't require writing custom kernels or manually managing storage for everything! Come learn about the libraries and techniques that make writing CUDA C++ code easier and more performant. Through examples, we'll explore all aspects of writing modern C++ software for GPUs, including heterogeneous memory management, algorithm design, and synchronization.

Conor will be presenting the following:

Title: Postmodern C++ for GPUs

Abstract: This talk will be a follow up to Bryce's talk by giving a glimpse into the potential future of GPU programming for C++. It will introduce a new experimental research library that provides an intuitive approach to GPU kernel / algorithm fusion without any boilerplate or ceremony. There will also be tips and tricks given for making use of the latest in AI-assisted editors for C++ / CUDA C++.

From Roku we will this year have Jonas Hansen and Andreas Hermann presenting the following:

Size matters, in embedded software. That is, on embedded platforms the size of the generated code and the size of any compile time data is important to minimize. Moreover, keeping the amount of dynamic relocations at a minimum saves on load-time and memory usage. To this end, Roku has developed data containers to store compile time data in an compact format. Here compact refers to the size of the code, data, and the number of dynamic relocations. Moreover, since all the data is known at compile time the data containers are able to figure out how to optimally access the data, be it via binary search, linear search, hashing, etc.