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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

12High-Performance Computing and Parallel Simulation

MPI and Distributed Memory OpenMP and Shared Memory Parallelism GPU Computing with CUDA/OpenCL Cloud-Based HPC and Resource Management Hybrid Parallelism Fault Tolerance in Large-Scale Simulations Scalable Data Management Parallel Random Number Generation Domain Decomposition in Practice Performance Modeling and Amdahl's Law Profiling MPI Programs Debugging Parallel Codes MPI I/O and Parallel File Systems Reproducibility in HPC Workloads Security and Compliance in HPC Environments

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/High-Performance Computing and Parallel Simulation

High-Performance Computing and Parallel Simulation

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Scale simulations across clusters and accelerators, addressing challenges of HPC environments.

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MPI and Distributed Memory

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