Introduction to Parallel Programming
eBook - PDF

Introduction to Parallel Programming

  1. 436 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Introduction to Parallel Programming

About this book

Introduction to Parallel Programming focuses on the techniques, processes, methodologies, and approaches involved in parallel programming. The book first offers information on Fortran, hardware and operating system models, and processes, shared memory, and simple parallel programs. Discussions focus on processes and processors, joining processes, shared memory, time-sharing with multiple processors, hardware, loops, passing arguments in function/subroutine calls, program structure, and arithmetic expressions. The text then elaborates on basic parallel programming techniques, barriers and race conditions, and nested loops. The manuscript takes a look at overcoming data dependencies, scheduling summary, linear recurrence relations, and performance tuning. Topics include parallel programming and the structure of programs, effect of the number of processes on overhead, loop splitting, indirect scheduling, block scheduling and forward dependency, and induction variable. The publication is a valuable reference for researchers interested in parallel programming.

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Yes, you can access Introduction to Parallel Programming by Steven Brawer in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Introduction to Parallel Programming
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. Chapter 1. Introduction
  7. Chapter 2. Tiny Fortran
  8. Chapter 3. Hardware and Operating System Models
  9. Chapter 4. Processes, Shared Memory, and Simple Parallel Programs
  10. Chapter 5. Basic Parallel Programming Techniques
  11. Chapter 6. Barriers and Race Conditions
  12. Chapter 7. Introduction to Schedulingā€”Nested Loops
  13. Chapter 8. Overcoming Data Dependencies
  14. Chapter 9. Scheduling Summary
  15. Chapter 10. Linear Recurrence Relationsā€”Backward Dependencies
  16. Chapter 11. Performance Tuning
  17. Chapter 12. Discrete Event, Discrete Time Simulation
  18. Chapter 13. Some Applications
  19. Chapter 14. Semaphores and Events
  20. Chapter 15. Programming Projects
  21. APPENDIX A: Equivalent C and Fortran Constructs
  22. APPENDIX B: EPF: Fortran77 for Parallel Programming
  23. APPENDIX C: Parallel Programming on a Uniprocessor Under Unix
  24. Bibliography
  25. Index
  26. Order Form for Parallel Programs on Diskette