Increase shared memory size in simulation container

Hello,

Amazon RoboMaker does not provide a direct way to increase the maximum shared memory size for the simulation container. The container environment in RoboMaker is managed by the underlying infrastructure, and the available configurations may be limited.

However, you may still be able to work around this limitation by utilizing alternate approaches or optimizing your simulation to fit within the available memory constraints. Here are a few suggestions:

Optimize your code and simulation: Review your code and simulation design to ensure efficient memory usage. Look for any unnecessary data or resources that can be eliminated or optimized.

Reduce resource requirements: If possible, try to reduce the memory requirements of your simulation. This can include decreasing the size of data structures, optimizing algorithms, or utilizing more efficient libraries or frameworks.

Distribute or parallelize the simulation: Instead of running the entire simulation within a single container, consider distributing or parallelizing the workload across multiple containers or instances. This can help reduce the memory pressure on individual containers.

Use smaller or lightweight models: If you're using machine learning models in your simulation, consider using smaller or more lightweight models that require less memory.