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Review of the Dining Philosopher Problem

By Jerry Cain - Stanford
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Lecture Description

Review of the Dining Philosopher Problem, Modeling Each Philosopher as a Thread, How Deadlock Can Result, How Deadlock Can be Eliminated By Limiting the Number of Philosophers That Can Eat at Once Using a Semaphore, Using a Global Variable and a Binary Lock to Track a Resource Vs. Using a Semaphore, Another Threading Example Involving FTP Downloads of Multiple Files at Once, Where Each File Is Assigned to a Thread and the Total Number of Bytes Is Returned, Implementing a Downloadhelper Function That Downloads a File and then Uses a Binary Lock to Safely Update the Total Number of Bytes Downloaded, Ensuring that the Downloadallfiles Function Does Not Return Before All the Files Have Been Downloaded by the Threads Which It Spawns by Using a Childrendone Semaphore, Ensuring that the Downloadallfiles Function Does Not Return Before All the Files Have Been Downloaded by the Threads Which It Spawns by Using a Childrendone Semaphore, How the Childrendone Semaphore Ensures that the Function Returns at the Correct Time, No Matter How the Various Threads Are Interleaved, Setting Up the Ice Cream Store Concurrency Example for Next Week

Course Description

Related Resources

Transcript   |  More Concurrency   |  Assignment 6   |  Assignment 6 Solutions

Course Index

  1. Introduction to Programming Paradigms Course
  2. Data Types - Interpretations
  3. Converting Between Types of Different Sizes and Bit Representations Using Pointers
  4. Creating a Generic Swap Function for Data Types of Arbitrary Size
  5. Generic Lsearch - Prototype
  6. Integer Stack Implementation - Constructor and Destructor
  7. Problems with Ownership of Memory
  8. Heap Management - How Information about Allocations are Stored in the Heap
  9. How a Code Snippet is Translated into Assembly Instructions
  10. More Detail about Activation Records - Layout of Memory During a Function Call
  11. Moving from C Code Generation to C++ Code Generation: Basic Swap Example
  12. Preprocessing Commands
  13. Review of Compilation Process of a Simple Program
  14. Sequential Programming vs. Concurrent Programming
  15. Transitioning from Sequential Programming to Concurrent Programming in the Ticket Sale Example
  16. Semaphores
  17. Review of the Dining Philosopher Problem
  18. Ice Cream Store Problem
  19. Introduction to the Functional Paradigm (Scheme)
  20. Car-Cdr Recursion Problem
  21. Introduction to the Kawa Development Environment: Evaluation of Expressions
  22. Writing a Recursive Power Set Function in Scheme
  23. Scheme Memory Model
  24. Overarching Features of Python
  25. Python Object Model
  26. XML Processing and Python
  27. Introduction to Haskell