CUDA Graphs can provide a significant performance increase, as the driver is able to optimize execution using the complete description of tasks and dependencies.

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CUDA Graphs with conditional nodes allow for the conditional or repeated execution of portions of a graph without returning control to the CPU, freeing up CPU resources and enabling more complex workflows.

Dynamic Control Flow in CUDA Graphs with Conditional Nodes