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CUDA Academy · Lesson

When Dynamic Parallelism Pays

Irregular and adaptive workloads.

Not Always the Right Tool

Dynamic parallelism is powerful but not free. Knowing when to reach for it matters as much as knowing how.

Workloads That Are Irregular

It pays most on irregular workloads where the amount of work per region is unknown until the kernel runs.

All lessons in this course

  1. Launching Kernels from a Kernel
  2. When Dynamic Parallelism Pays
  3. Capturing Work into a Graph
  4. Replaying Graphs to Cut Overhead
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