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DTSTART;TZID=America/Los_Angeles:20230610T150000
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DTSTAMP:20260425T185951
CREATED:20230512T133421Z
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UID:1313-1686409200-1686420000@aessf.org
SUMMARY:GPU Audio in Modern Creation and Industry Compute Platforms
DESCRIPTION: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.  \nMeet the panelists for our in-person event on June 10 at the University of Silicon Valley. \nJonathan Rowden\, Co-Founder & Managing Partner of GPU Audio\nAndres Viso\, Product Manager at Braingines/GPU Audio\nJonathan Wyner\, Senior Mastering Engineer at M Works and Professor at Berklee College of Music\nJeremy Krinitt\, Lead\, Generative AI at NVIDIA\nCarl Wakeland\, Fellow at AMD\nModerator: Jean-Marc Jot\, Founder & Principal at Virtuel Works \nAgenda\n3:00-3:30 Refreshments & Networking\n3:30-5:00 Panel\n5:00-6:00pm Networking \nSpace is limited. Registration is here. \nAdmission 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/
URL:https://aessf.org/event/gpu-audio/
LOCATION:University of Silicon Valley\, 191 Baypointe Parkway\, San Jose\, CA\, 95134\, United States
CATEGORIES:Home Page,Section Meetings
ATTACH;FMTTYPE=image/png:https://aessf.org/wp-content/uploads/2023/05/GPU-Audio-Meet-the-Panelists-1x1.png
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