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Hi Carlos,
I am coming up with another Issue, but this time no bug=)
I have really quite slow performance while the simulation is running. Do you have any Idea or can you give hints?
Below is my setup:
Ubuntu 20.04.6
Intel® Core™ i7-7800X CPU @ 3.50GHz × 12
GeForce GTX 1080 Ti x 2
Greetings
Melih
The text was updated successfully, but these errors were encountered:
Well, CARLA itself is a quite demanding software on its own so there's not much things to do from our side to speed-up simulations. If you are using the NR-V2X module that would be the worst combination, being NR-V2X quite slow as well (even with SUMO).
The only thing to point out is to make sure that CARLA is indeed running on the dedicated GPU with nvidia-smi. The other thing to consider is that if not entirely necessary you can setup OpenCDA to not show the camera and LiDAR views from the configuration YAML inside path/to/OpenCDA/opencda/scenario_testing/config_yaml (refer to this link for more information). Lastly, the simulation speed will be affected significantly if you are using ML-based perception as it takes a few tens of milliseconds for each image (4 rgb_cameras per CAV * number of CAVs) on each simulation step.
Hi Carlos,
I am coming up with another Issue, but this time no bug=)
I have really quite slow performance while the simulation is running. Do you have any Idea or can you give hints?
Below is my setup:
Greetings
Melih
The text was updated successfully, but these errors were encountered: