Raph Levien

Raph Levien: A Taste of GPU Compute

Raph Levien

The presentation details how modern GPU architectures prioritize throughput over single-thread latency to overcome the plateau of CPU scaling, leveraging parallelism to achieve tenfold improvements in performance per dollar and watt. It outlines a functional programming model for GPU compute that employs hybrid tiling and bitmasking strategies to minimize branch divergence and maximize read efficiency in rendering workloads. Finally, the event analyzes the industry's shift from proprietary CUDA ecosystems toward standardized open APIs like Vulkan and WebGPU, which facilitate portable, high-performance computing through intermediate languages like SPIR-V and formal memory models.