Chevron Left
Back to Parallel Programming in Java

Learner Reviews & Feedback for Parallel Programming in Java by Rice University

4.6
stars
1,212 ratings

About the Course

This course teaches learners (industry professionals and students) the fundamental concepts of parallel programming in the context of Java 8. Parallel programming enables developers to use multicore computers to make their applications run faster by using multiple processors at the same time. By the end of this course, you will learn how to use popular parallel Java frameworks (such as ForkJoin, Stream, and Phaser) to write parallel programs for a wide range of multicore platforms including servers, desktops, or mobile devices, while also learning about their theoretical foundations including computation graphs, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism. Why take this course? • All computers are multicore computers, so it is important for you to learn how to extend your knowledge of sequential Java programming to multicore parallelism. • Java 7 and Java 8 have introduced new frameworks for parallelism (ForkJoin, Stream) that have significantly changed the paradigms for parallel programming since the early days of Java. • Each of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends. • During the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums. The desired learning outcomes of this course are as follows: • Theory of parallelism: computation graphs, work, span, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism • Task parallelism using Java’s ForkJoin framework • Functional parallelism using Java’s Future and Stream frameworks • Loop-level parallelism with extensions for barriers and iteration grouping (chunking) • Dataflow parallelism using the Phaser framework and data-driven tasks Mastery of these concepts will enable you to immediately apply them in the context of multicore Java programs, and will also provide the foundation for mastering other parallel programming systems that you may encounter in the future (e.g., C++11, OpenMP, .Net Task Parallel Library)....

Top reviews

LG

Dec 12, 2017

This is a great course in parallel programming. The videos were very clear, summaries reinforced the video material and the programming projects and quizzes were challenging but not overwhelming.

SV

Aug 27, 2017

Great course. Introduces Parallel Programming in Java in a gentle way.

Kudos to Professor Vivek Sarkar for simplifying complex concepts and presenting them in an elegant manner.

Filter by:

201 - 225 of 259 Reviews for Parallel Programming in Java

By Thatiana F

•

Sep 5, 2017

A great course, but I think it would be even better if only the structures from Java 8 were used, and not the functons build by the Rice University.

By Akshat A

•

Sep 6, 2018

Great material, well arranged course flow, willing teacher, and nice project snippets. More coding samples and projects could have been included.

By Felix C

•

Jun 6, 2021

The last split average array example can have more graphic to illustrate for ease to understand the problem and solution for the last project.

By Umrao S R

•

Aug 16, 2020

Very good to learn parallel programming in java. excellent to teach in simple way with good example and current scope touching description.

By Shady I

•

Sep 3, 2017

The courses covers broadly the new synchronization primitives in Java8. It is very clear and demonstrative. It is very shallow though.

By Vitalii D

•

Apr 19, 2019

Thank you for this course! Really interesting, but lacks the real world examples and has little number of tasks to complete.

By Utkarsh K

•

Aug 30, 2023

I feel like this course can improved if more details/examples are provided in summary. But overall, a very nice course.

By akoua y a d

•

Nov 13, 2022

Very great, I learn the fondamental notions of parallelism before to practice them in the mini project. I recommend it.

By Nanditha K R

•

Sep 14, 2020

The concepts are explained well. Quizzes and mini project has good details to understand the concept better.

By Abir M

•

Aug 12, 2020

Could have had more demonstrations, or even examples for reference. Overall, it was a very good course.

By Marcin K

•

Nov 23, 2017

More details on concurrency would be a huge benefit to course and students (even as optional material)

By Johannes D

•

Sep 29, 2017

Good course that gave you a good overview. The code assignments code have been a little more advanced.

By Arun N

•

Sep 16, 2017

Simple delivery, very manageable work load, and still something tangible to take away from the course.

By Ivan K

•

Jan 16, 2019

It was useful and interesting course, however, I'd like to see more complicated practical tasks

By Xiao X

•

Jan 24, 2018

-1 star due to the too-easy homework.

I wish the homework can be harder and more challenging.

By Wang S

•

Aug 14, 2017

it'll be perfect if mini projects can deeper test what we've learned in the class.

By Noam Y

•

Jan 27, 2021

Great material. Interesting lectures. The tasks are not comprehensive enough.

By Isaac A

•

Dec 26, 2018

Enjoyed this course a lot! Wished the projects were a little more substantial

By prabhakar k

•

May 28, 2020

thanks to coursera.to give a simple way to solve parallel programming

By Prabhakar k

•

May 28, 2020

i learn new way to do parallel programming in java.thanks to coursera

By Wei H

•

Jul 14, 2018

the lecturer should wear black shirt to make the video more readable.

By Vishal V

•

Mar 10, 2018

Great Learning and understanding the parallelism concepts in java

By bhamidipati s

•

May 1, 2020

please be more elaborate regarding programming assignments

By Prasanth R

•

Feb 10, 2018

The homework was too simple, could use better examples.

By Cong X

•

Oct 16, 2017

Overall informative but way too easy on the projects...