Chevron Left
Back to Parallel Programming in Java

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

4.6
stars
1,232 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

RA

Dec 26, 2017

Very relevant concepts, explained beautifully by a very experienced professor. The assignments were good, but they could involve more programming for more practice!

AB

Jan 27, 2018

Instructor is awesome. However instead of sharing ready libraries for parallelism (like forall loop) in section 3, native codes should be used for forall loops etc.

Filter by:

126 - 150 of 263 Reviews for Parallel Programming in Java

By Leonardo S

•

Aug 17, 2018

Very enjoyable and educational

By Deleted A

•

Jan 23, 2022

where's the unenrol button?

By Milad T

•

Aug 18, 2020

Awesome, Thank you so much

By Gajula T L S V M

•

Jun 5, 2020

very well developed course

By Daniel F

•

Mar 13, 2019

great content and mentors

By Nakibaman T

•

May 3, 2018

Very helpful and advanced

By Oh, M W

•

Mar 10, 2018

Very concise and helpful.

By Mehul S

•

Nov 8, 2018

Very informative course.

By Kateryna P

•

May 5, 2020

It was very interesting

By Junqi X

•

Feb 27, 2020

Very interesting topic.

By TAIF A

•

Nov 28, 2024

لقد استمتعت واستفدت

By Grigorii N

•

Oct 24, 2018

The course is good!

By Tai H T

•

Oct 24, 2017

Interesting course!

By Phuong L

•

Aug 9, 2020

Precious knowledge

By DaeMyung K

•

Feb 21, 2018

Very good and kind

By Luiz E

•

Dec 10, 2017

Awesome professor!

By Anurup B

•

Jan 5, 2022

Very good course

By Леонид С

•

Oct 8, 2020

Excellent course

By Carlos A R

•

Oct 23, 2019

Really didactic!

By chen x

•

Oct 15, 2017

Very impressive!

By Sudharaka P

•

Nov 6, 2018

Great course!!!

By Filipe S

•

Aug 8, 2020

Learned a lot.

By Guillermo D

•

Jan 2, 2019

Great Course!!

By Вадим Д

•

Nov 9, 2020

Grate course!

By Antonio X

•

Nov 9, 2017

great course.