MATLAB is an ideal environment for learning on parallel computing, which allows users to focus on parallel algorithms rather than the details of implementation. Parallel MATLAB for Multicore and Computer Multinode includes more parallel algorithms and parallel programming model than other parallel programming books because short for MATLAB. It is suitable as the main book in a parallel computing class or as additional text in numerical computing class or classes of computer science algorithms. Contents: List of Figures, List of Tables, List of Algorithms, Introduction, Acknowledgments, Part I: Fundamentals: Chapter 1: Primary: Notation and Interface; Chapter 2: Introduction pMatlab; Chapter 3: Interacting with Distributed Array, Part II: Advanced Techniques : Chapter 4: Parallel Programming Models; Chapter 5: Advanced Programming Distributed Array; Chapter 6: Performance Metrics and Software Architecture, Part III: Case Studies: Chapter 7: Analysis of Parallel Applications, Chapter 8: Stream; Chapter 9: RandomAccess; Chapter 10: Fast Fourier Transform, Chapter 11: High Performance Linpack; Appendix: Notation for Multicore Parallel Hierarchical Algorithm; Index