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GPU Audio in Modern Creation and Industry Compute Platforms
June 10, 2023 @ 3:00 pm - 6:00 pm
Today’s computation platforms draw remarkable benefit from the parallelism capability of GPUs (Graphic Processing Units) for both visual rendering and non-visual workloads, including machine learning tasks. In contrast, audio processing has traditionally been handicapped due to algorithm topologies not readily mapping to GPU architectures. In this panel, we’ll learn from industry leaders about overcoming this persistent limitation in future GPU-powered compute platforms, thereby breaking workflow and efficiency barriers in embedded or cloud-based artistic and industrial applications.
Meet the panelists for our in-person event on June 10 at the University of Silicon Valley.
Jonathan Rowden, Co-Founder & Managing Partner of GPU Audio
Andres Viso, Product Manager at Braingines/GPU Audio
Jonathan Wyner, Senior Mastering Engineer at M Works and Professor at Berklee College of Music
Jeremy Krinitt, Lead, Generative AI at NVIDIA
Carl Wakeland, Fellow at AMD
Moderator: Jean-Marc Jot, Founder & Principal at Virtuel Works
Agenda
3:00-3:30 Refreshments & Networking
3:30-5:00 Panel
5:00-6:00pm Networking
Space is limited. Registration is here.
Admission is $20 for general public, free for current AES members, use your member number in the promo box. If you need to renew your membership, visit https://aes2.org/aes-membership-overview/