This course is part of the Functional Programming in Scala Specialization

4.4
stars
1,824 ratings

Prof. Viktor Kuncak +1 more instructor

57,715 already enrolled

Offered By

Functional Programming in Scala SpecializationÉcole Polytechnique Fédérale de Lausanne

About this Course

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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.
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

Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Functional Program Design in Scala: https://www.coursera.org/learn/progfun2.

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Course 3 of 5 in the

Functional Programming in Scala Specialization

Intermediate Level

Approx. 32 hours to complete

English

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Skills you will gain

Data Structure
Parallel Computing
Data Parallelism
Parallel Algorithm

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 5 in the

Functional Programming in Scala Specialization

Intermediate Level

Approx. 32 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.52/5 (44 Ratings)

Prof. Viktor Kuncak

Associate Professor

School of Computer and Communication Sciences

58,346 Learners

2 Courses

Dr. Aleksandar Prokopec

Offered by

École Polytechnique Fédérale de Lausanne

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Syllabus - What you will learn from this course

Content Rating86%(2,570 ratings)

Week1

Week 1

12 hours to complete

Parallel Programming

12 hours to complete

9 videos (Total 106 min), 5 readings, 3 quizzes

9 videos

Course Overview2mIntroduction to Parallel Computing15mParallelism on the JVM I13mParallelism on the JVM II8mRunning Computations in Parallel13mMonte Carlo Method to Estimate Pi4mFirst-Class Tasks7mHow Fast are Parallel Programs?24mBenchmarking Parallel Programs17m

5 readings

Working on Assignments5mTools Setup (Please read)10mSBT tutorial and Submission of Assignments (Please read)10mCheat Sheet10mScala Style Guide10m

Week2

Week 2

8 hours to complete

Basic Task Parallel Algorithms

8 hours to complete

6 videos (Total 100 min)

Week3

Week 3

7 hours to complete

Data-Parallelism

7 hours to complete

5 videos (Total 51 min)

Week4

Week 4

7 hours to complete

Data Structures for Parallel Computing

7 hours to complete

5 videos (Total 57 min)

Reviews

4.4

282 reviews

5 stars
59.70%
4 stars
28.39%
3 stars
9.15%
2 stars
2.02%
1 star
0.71%

TOP REVIEWS FROM PARALLEL PROGRAMMING

by DLJun 1, 2018

Very challenging course, the assignments are more about practising using parallel programming, would be better to design an assignment to implement the parallel programming.

by WDSep 22, 2016

Very good introduction to the topic. Examples and programming exercises were very good, although last assignment was visibly less polished than earlier ones.

by JDMay 20, 2020

At its begining, this training doesn't look as polished and refined as the previous ones animated by Martin Odersky, but it quickly catch up with very efficient lessons and great practice exercises.

by RWDec 10, 2016

Good course but scala understanding is required for this course. So please register for prior course in the certification task to easily complete this course.

View all reviews

About the Functional Programming in Scala Specialization

Discover how to write elegant code that works the first time it is run.

This Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Parallel programming

About this Course

Skills you will gain