Optimizing Neuromorphic simulation performance: Best practices?


Hello everyone, I’m working on a simulation in the Neuromorphic Computing platform but I’m facing performance issues. The simulation is running slower than expected, and I need guidance on optimizing its performance. Are there any best practices, guidelines, or specific coding strategies to reduce computation time, optimize memory usage, and enhance overall performance? I’m also interested in any available tools or profiling methods within the platform to identify performance bottlenecks. Your insights and recommendations would be greatly appreciated. Thank you!