With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library. Throughout, we'll apply these concepts through several hands-on examples that analyze real-world data, such as popular algorithms like k-means clustering.
This course is part of the Functional Programming in Scala Specialization
About this Course
Skills you will gain
- Data Structure
- Parallel Computing
- Data Parallelism
- Parallel Algorithm
Syllabus - What you will learn from this course
Basic Task Parallel Algorithms
Data Structures for Parallel Computing
- 5 stars59.70%
- 4 stars28.39%
- 3 stars9.15%
- 2 stars2.02%
- 1 star0.71%
TOP REVIEWS FROM PARALLEL PROGRAMMING
Assignments are focused on problem-solving rather than the importance of parallelism, missing the point of the lecture. It is a Scala course, so it is always fun!
excellent course, a good way to showcase how scala is well suited to patallel programming.
The course itself is very practical and the instructors are very knowledgeable
Very challenging course, the assignments are more about practising using parallel programming, would be better to design an assignment to implement the parallel programming.
The course is fairly advanced and you would need to review the materials many times to understand the concept. The assignments are definitely fun and not as straightforward as other courses.
About the Functional Programming in Scala Specialization
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