Graph replay requires per-token Python dispatch to coordinate synchronization barriers between CPU and GPU tasks.
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Prep Sessions
Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor
Ch.3 Adaptive Runtime Policies and Device Execution - Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor
CUDA-Graph-Compatible Device-Side Cache Execution - Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor
Related
What mechanism in a graph-resident heterogeneous pipeline allows CPU execution to be triggered without per-token runtime scheduling?
Graph replay requires per-token Python dispatch to coordinate synchronization barriers between CPU and GPU tasks.
What resources must the system pre-allocate for each decode batch size to support graph-resident heterogeneous execution?
Describe the sequence of operations statically bundled within a unified CUDA Graph for graph-resident heterogeneous CPU-GPU execution replay.