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Dispatch Overhead, Not Kernel Quality: The Performance Bottleneck in Single-Stream WebGPU LLM Inference
Large Language Models are increasingly deployed in resource-constrained, single-stream settings, from internet browsers to edge devices, where requests arrive one at a time at batch size 1 rather than in large batches. In this regime, where WebGPU serves as a modern cross-platform standard, per-oper
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