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

4.6
stars
1,197 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

YE

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This course explain the concepts in a great way but the exercises

needs to be more rich with problems to enhance our understanding to the concepts.

RA

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

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251 - 253 of 253 Reviews for Parallel Programming in Java

By Wenrui W

•

Mar 20, 2019

I spent 6 days on this course, and I feel it is not worth the time. One of the problems is that the lectures are overly basic, and the mini projects are not challenging, at least not in a helpful way (quizzes are sometimes challenging due to some concepts not covered in the lectures at all). I guess the instructor did not really spent much time preparing the materials and assignments.

By Clay M

•

Jan 18, 2022

The lectures and the projects often did not match up. The autograder was also very capricious and you can pass and fail with the same submission.

By Wen L

•

Oct 25, 2017

Please make the homework better.