Historically, GPU-based audio processing has been viewed as a technical outlier—long theorized but rarely implemented in real-world scenarios. While the parallel architecture of GPUs offers immense computational potential, traditional digital signal processing workflows have relied on sequential, CPU- or DSP-based models, making GPU integration inherently complex. The architectural mismatch between SIMD-based GPU design and MIMD-oriented DSP algorithms has posed significant challenges - until now.

Software and systems architecture now make real-time GPU audio processing not only viable but highly performant. By leveraging the parallelism of modern GPUs, developers can build audio applications that dramatically outperform CPU-only solutions, unlocking a unique feature set and new creative possibilities. This evolution is especially timely, as modern audio pipelines increasingly converge with AI, machine learning, acoustic simulation, immersive spatial audio, and so on.

Previously, issues such as latency, memory handling, and deterministic processing led many to believe GPUs were unsuitable for audio DSP. However, a new low-level framework, purpose-built for real-time GPU audio, has changed that narrative. GPU AUDIO INC has developed technology that overcomes these long-standing barriers, enabling scalable, low-latency DSP directly on the GPU.

This presentation offers a hands-on introduction to the capabilities of GPU-based audio processing - and how it can transform your development workflow. You'll explore the architecture behind the GPU Audio SDK, gain a clear understanding of the technical challenges it solves, and get practical experience implementing real-time DSP on GPU hardware.

Participants will:

• Explore the core technology powering GPU Audio’s real-time processing framework (latencies as low as 30-50 microseconds for consumer-grade GPUs and desktop-grade OS!).
• Implement a basic IIR audio processor using GPU-accelerated techniques.
• Analyze performance metrics and gain insight into the GPU Audio Scheduler and its role in real-time processing.
• Access the SDK and learn how to get started with your own GPU-based audio projects.

Whether you're developing audio software and web-services, building spatial audio engines for games & VR, or exploring machine learning in audio tech, automotive, or consumer applications, this session offers a forward-looking foundation in GPU-accelerated DSP.