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Lightweight Scheduling Policies for Continuously Batched LLLM Serving Across GPU Architectures
Large language model serving is increasingly limited not only by model size and GPU speed, but also by scheduling during autoregressive decoding, where continuous batching interleaves requests at token granularity as sequences arrive and finish. We study whether lightweight scheduling policies can i
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