Files
project_6/upstream_ref/xllm/docs/zh/features/continuous_scheduler.md
EX Engine 002f9879b2 ref(upstream): FULL TREE — Deep-Spark xllm (1470) + ds_vllm csrc/models (703)
Replaces cherry-picked upstream_ref with complete source trees.

xllm/ — Iluvatar official C++ inference engine (15MB, 1470 files)
  Complete: kernels → layers → models → runtime → scheduler → api
  Excluded: .git, binary images, third_party submodule checkouts

ds_vllm/ — Iluvatar official vllm fork (8MB, 703 files)
  Included: csrc/ (ALL CUDA kernels), fused_moe/, qwen3_5 model, _custom_ops
  Excluded: tests, benchmarks, docs, examples (not needed for reference)

Critical call chains now fully traceable:
  MoE: moe_topk_softmax_kernels.cuh → ixformer.h → fused_moe.cpp → layer
  GDN: qwen3_gated_delta_net_base.cpp → qwen3_5_gated_delta_net.cpp
  Attention: ixformer.h → xllm_paged_attention → attention.cpp
2026-08-10 02:54:03 +00:00

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Continuous调度器

功能介绍

xLLM实现了支持continuous batching的调度策略continuous_batch是一种动态批处理策略它不等待批次填满而是在有请求时就开始处理同时持续接收新请求并将其加入正在执行的批次中从而在保持高吞吐量的同时显著降低延迟。

使用方式

xLLM提供了continuous batching调度策略。目前enable_chunked_prefill默认值为true开箱即用时默认调度器是chunked prefill调度器。