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Abstract:
This talk introduces a new high-level CUDA C++ library that brings functional, array-style programming to GPUs - without compromising performance. With a fluent API that slashes boilerplate and minimizes kernel launches, it enables you to write expressive, high-performance GPU code with up to 10× less code. This talk explores how functional patterns can unlock both clarity and speed in GPU development.

Speaker: Conor Hoekstra
Research Scientist at NVIDIA working on array programming models and languages. Creator of the Parrot library (a high-level, array-based library with implicit GPU fusion). Extremely passionate about programming languages, algorithms, and beautiful code. Founder and organizer of the Programming Languages Virtual Meetup. Host of four podcasts and an avid conference speaker.

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