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AES Section Meeting Reports

San Francisco - June 10, 2023

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Summary

This was a hybrid Zoom/in person presentation. 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. Panelists discussed overcoming this persistent limitation in future GPU-powered compute platforms, how to break workflow and efficiency barriers in embedded/cloud-based artistic and industrial applications.

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AES - Audio Engineering Society