Optimizing simulation performance is crucial for efficiently discovering the best solutions to complex problems, allowing for rapid analysis of various scenarios, system fine-tuning, and timely decision-making to reduce costs, improve productivity, and boost system performance. In scenarios like supply chains or manufacturing, this optimization helps find the optimal configuration for resource allocation, reduce waste, and improve overall efficiency without needing analytical formulas for every possible situation. 

After this course, learners will be abe to

• Look at how to measure and tune simulation performance for various use cases.
• Learn how time is moving forward in a simulated system. See how to schedule multiple logical processors and examine some guidelines for for how to tune the simulation parameter known as "time quantum".

Based on: Simics 4.8
Applicable for: Simics 4, 5