This is a complete guide for learning how to "think parallel". The treatment emphasizes general principles, but sprinkled throughout are also numerous "parallel hints" and "Fortran 90 tips". The Fortran 90 language is not just the long-awaited updating of Fortran to modern computing practices--it is the cutting edge of the multiprocessor computers and widespread parallel programming.
This is a complete guide for learning how to "think parallel". The treatment emphasizes general principles, but sprinkled throughout are also numerous "parallel hints" and "Fortran 90 tips". The Fortran 90 language is not just the long-awaited updating of Fortran to modern computing practices--it is the cutting edge of the multiprocessor computers and widespread parallel programming.
1. Introduction to Fortran 90 language features 2. Introduction to parallel programming 3. Numerical recipes utility functions for Fortran 90 Part I. Fortran 90 Code chapters: 4. Preliminaries 5. Solution of linear algebraic equations 6. Interpolation and extrapolation 7. Integration of functions 8. Evaluation of functions 9. Special functions 10. Random numbers 11. Sorting 12. Root finding and nonlinear sets of equations 13. Minimization or maximization of functions 14. Eigensystems 15. Fast Fourier transform 16. Fourier and spectral applications 17. Statistical description of Data 18. Modelling of data 19. Integration of ordinary differential equations 20. Two point boundary value problems 21. Integral equations and inverse theory 22. Partial differential equations 23 Less-numerical algorithms Part II. Appendices: 24. Listing of utility modules (nrtype and nrutil) 25. Listing of explicit interfaces 26. Index of programs and dependencies.
1. Introduction to Fortran 90 language features 2. Introduction to parallel programming 3. Numerical recipes utility functions for Fortran 90 Part I. Fortran 90 Code chapters: 4. Preliminaries 5. Solution of linear algebraic equations 6. Interpolation and extrapolation 7. Integration of functions 8. Evaluation of functions 9. Special functions 10. Random numbers 11. Sorting 12. Root finding and nonlinear sets of equations 13. Minimization or maximization of functions 14. Eigensystems 15. Fast Fourier transform 16. Fourier and spectral applications 17. Statistical description of Data 18. Modelling of data 19. Integration of ordinary differential equations 20. Two point boundary value problems 21. Integral equations and inverse theory 22. Partial differential equations 23 Less-numerical algorithms Part II. Appendices: 24. Listing of utility modules (nrtype and nrutil) 25. Listing of explicit interfaces 26. Index of programs and dependencies.
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