Paralel and concurrent programming

Course

1. General principles for parallel programming. Introductory material.
2. Paralelism – Computer Architecture Perspective
3. Parallel Models – Shared and Distributed memory models.
4. Distributed vs. shared-memory parallelism.
5. No determinism and how it arises, even in single-processor systems. Multiple processors tasks.
6. Design and analysis of parallel algorithms
7. Numerical algorithms, Non-numerical algorithms
8. Distributed memory programming. Shared Memory programming.
9. Parallel frameworks
10. Applications- scientific computing
11. Process synchronization. Applications.
12. Interconnection networks

Laboratories

1. Java and Threads. A brief introduction to the Java language. Example applications with Threads.
2. Understanding the Problem
3. distributed vs. shared-memory parallelism.
4. -No determinism and how it arises, even in single-processor systems.
5. Threads, race conditions, and critical sections.
6. Solution Techniques
7. Abstractions for mutual exclusion and synchronization.
8. Modern Java concurrency facilities.
9. Object-oriented design patters for concurrency.
10. Project proposals, design, solutions
11. Writing Concurrent Programs
12. Parallel computing and message passing
13. Practical applications. Examples of practical problems solved with efficient methods.
14. Analysis, evaluation, and feed-back.

- Solve different problems in Java using Treads.

- explain fundamental concepts and solutions in concurrent programming;

- recognize issues and challenges in developing concurrent programs;

-apply common techniques used in implementing concurrent programs;

-describe shared memory and message passing approaches to parallel programming;

-write a program using features of a language that supports concurrent programming; and

-recognize and apply design patterns for concurrent programming.