Sequential Programming vs. Concurrent Programming

Lecture Description

Example in Which Writing Past the End of Array Causes the Return Address of the Function to be Overwritten, Leading to An Infinite Loop, Example in Which Data Is Incorrectly Shared between Two Different Functions, But Can Still be Printed Out Due to the Structure of the Activation Record (Channelling), How Printf's Prototype Uses "...", Which Allows It to Take A Variable Number of Arguments, Why Parameters Are Pushed Onto the Stack From Right to Left, in the Context of Printf Crawling Up the Stack And Functions With A Variable Number of Arguments, Justification For Structs' Fields being Laid Out Sequentially in Memory, in Terms of Casting between Different Structs With Similar Internal Structures, Sequential Programming Vs. Concurrent Programming, Example of Many Different Processes Running in Separate Virtual Address Spaces, Each Mapped to Physical Addresses by A Central Memory Management Unit, How Concurrent Programming (Multiprocessing) Allows Mutiple Processes to Seemingly Run At the Same Time, How Multithreading Allows Multiple Functions in Run 'Simultaneously' Within One Process (E.G. the office Assistant in Microsoft office Or Downloading Songs in Itunes), Real-World Situation that Can be Modeled Using Threads (10 Ticket Agents Simultaneously Selling 150 Tickets)

Course Description

Topics include: Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms; the functional paradigm (using LISP) and concurrent programming (using C and C++); brief survey of other modern languages such as Python, Objective C, and C#.

Prerequisites: Programming and problem solving at the Programming Abstractions level. Prospective students should know a reasonable amount of C++. You should be comfortable with arrays, pointers, references, classes, methods, dynamic memory allocation, recursion, linked lists, binary search trees, hashing, iterators, and function pointers. You should be able to write well-decomposed, easy-to-understand code, and understand the value that comes with good variable names, short function and method implementations, and thoughtful, articulate comments.

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Transcript

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