Modeling and Simulation in computer science

Chapters

1Foundations of Modeling in Computer Science

2Mathematical Foundations for Simulation

3Discrete-Event Simulation Fundamentals

4Agent-Based Modeling and Complex Systems

5System Dynamics and Continuous Modeling

6Numerical Methods and Scientific Computing for Simulation

7Stochastic Processes and Uncertainty Quantification

8Data Structures, Algorithms, and Simulation Efficiency

9Simulation Programming Languages and Frameworks

10Verification, Validation, and Experiment Design

11Performance Analysis and Optimization of Simulations

Profiling for Bottlenecks Parallelization Strategies Vectorization and Hardware Utilization Load Balancing and Scheduling Cache-Aware Algorithms Memory Footprint Optimization Numerical Stability and Precision Benchmarking and Regression Testing Optimization of Parameter Sweeps Auto-Tuning and Auto-Configuration Model Reduction for Speed Real-time Simulation Considerations Energy Efficiency in Computation Performance Visualization Case Studies in Speed Gains

12High-Performance Computing and Parallel Simulation

13Data Management, Reproducibility, and Experiment Tracking

14Visualization and Communication of Simulation Results

15Applications and Case Studies in Modeling and Simulation

Courses/Modeling and Simulation in computer science/Performance Analysis and Optimization of Simulations

Performance Analysis and Optimization of Simulations

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Learn to measure, analyze, and improve the speed and scalability of simulations.

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Load Balancing and Scheduling

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Speed Challenge

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