Following is a table comparing the executions times to simulate 12,800 particles for one timestep on the different N-Body Simulators explored in this tutorial.
| Name | Hardware | Algorithm | Average Execution Time for 1 Timestep (seconds) |
|---|---|---|---|
| Python NBody Simulator | x86 Linux Machine | O(N) | 14.96 |
| C++ NBody Simulator | A72 Embedded Arm Processor | O(N2) | 123.299 |
| AI Engine NBody Simulator | Versal AI Engine IP | O(N) | 0.007 |
As you can see, the N-Body Simulator implemented on the AI Engine offers a x2,800 improvement over the Python O(N) implementation and a x24,800 improvement over the C++ O(N2) implementation. A vectorized C++ NBody Simulator O(N) implementation can be created with pthreads, but is left as an exercise for the user.