Learn OpenMP in C++ (parallel programming)
Learn OpenMP in C++ (parallel programming), available at $22.99, has an average rating of 4.75, with 9 lectures, based on 25 reviews, and has 93 subscribers.
You will learn about The student will learn how to implement the different types of openMP construct like worksharing, environment variables, FOR construct,data variables, task etc. The student will learn how to translate a serial C and C++ program to a parallel program The learner would learn what is OpenMP, and its application in parallel processing. The student would be able to write parallel programs in C and C++ This course is ideal for individuals who are C++ and C developers It is particularly useful for C++ and C developers.
Enroll now: Learn OpenMP in C++ (parallel programming)
Summary
Title: Learn OpenMP in C++ (parallel programming)
Price: $22.99
Average Rating: 4.75
Number of Lectures: 9
Number of Published Lectures: 9
Number of Curriculum Items: 9
Number of Published Curriculum Objects: 9
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- The student will learn how to implement the different types of openMP construct like worksharing, environment variables, FOR construct,data variables, task etc.
- The student will learn how to translate a serial C and C++ program to a parallel program
- The learner would learn what is OpenMP, and its application in parallel processing.
- The student would be able to write parallel programs in C and C++
Who Should Attend
- C++ and C developers
Target Audiences
- C++ and C developers
Welcome.
This is a practical course on C and C++ high level language which teaches parallel programming using openMP. We start by explaining what a parallel program is, its applications and different examples of it. Then we introduced the two main API used for parallel programming which are openMP and MPi . We also learn the difference between concurrency and parallelism.
We also discussed shared memory model, distributed memory model and hybrid model etc relative to their implementation in parallel programming.
We discussed what a task region is, and how to declare one.
Then we dived in to writing parallel programs using openMP APi.
Some of the programs demonstrated each of the openMP work sharing constructs including;
1. Parallel Regions –
e.g #pragma omp parallel
2. Runtime functions/environment variables –e.g
int my_thread_id = omp_get_num_threads(); – omp_set_num_threads(8);
3. Synchronization –
e.g #pragma omp barrier
4. Work sharing –
e.g #pragma omp for, #pragma omp sections
5. Data Environment –
e.g #pragma omp parallel shared/private (…)
6. tasks. etc.
A lot of practical examples are also included in most lectures to enable the reader get a good grasp of the concept being discussed.
At the end of the course the student would be able to efficiently implement parallel programming to improve the speed and standard of programs written in C and C++.
Thank you .
Course Curriculum
Chapter 1: openMP
Lecture 1: 1. Introduction – difference between concurrency and parallelism, memory models
Lecture 2: 2. introduction to openMP
Lecture 3: 3. Different kinds of openMP constructs, Defining the parallel regions
Lecture 4: 4. False sharing and race condition in openMP, and how to implement padding
Lecture 5: 5. How to implement synchronization in openMP using atomic, critical, barrier
Lecture 6: 6. How to implement the runtime environment construct
Lecture 7: 7. How to use the worksharing construct – section, single, master, for, task etc
Lecture 8: 8. Data environment variable
Lecture 9: 9. implementing the task construct
Instructors
-
Ezeuko Emmanuel
Computer engineer
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 2 votes
- 4 stars: 0 votes
- 5 stars: 21 votes
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