Parallel programming Coursera

Overview

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 this Parallel programming offered by Coursera in partnership with École Polytechnique Fédérale de Lausanne, we'll apply these concepts through several hands-on examples that analyze real-world data, such as popular algorithms like k-means clustering.

Learning Outcomes

By the end of this course you will be able to:

• reason about task and data parallel programs,

• express common algorithms in a functional style and solve them in parallel,

• competently microbenchmark parallel code,

• write programs that effectively use parallel collections to achieve performance

Build your subject-matter expertise

• Learn new concepts from industry experts

• Gain a foundational understanding of a subject or tool

• Develop job-relevant skills with hands-on projects

• Earn a shareable career certificate