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Avis et commentaires pour l'étudiant pour Parallel Programming in Java par Université de Rice

636 notes
129 avis

À propos du cours

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)....

Meilleurs avis


Dec 13, 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.


Aug 28, 2017

Great course. Introduces Parallel Programming in Java in a gentle way.\n\nKudos to Professor Vivek Sarkar for simplifying complex concepts and presenting them in an elegant manner.

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126 - 129 sur 129 Examens pour Parallel Programming in Java

par Wen L

Oct 25, 2017

Please make the homework better.

par Pavel B

Nov 18, 2017

Unfortunately course designed very poorly.

While lectures generally are good, there are not enough of materials. I'm sorry to say, but programming assignments are bad. Forum is full of posts like "Grader grades the same file for 100 and 50 points". Teaching stuff reacts on this like, quote:

"Hi Anton, I may have missed it but I don't see a question in your text? Is there something I can help with?"

Yes, dear teaching stuff, you can help not only Anton, but all of us. Take a look at Parallel Programming Using Scala, here, on Coursera. Their grader is stable, and apparently there is a well-known, common way of reaching the stable state of JVM using testing frameworks. They measure performance after stable state is reached.

Also, it is not clear what is actually the topic of this course? Parallel programming? No. There is almost nothing to do with common parallel programming. No info about hardware, schedulers, operating systems, JVM. Java? Also no, there is no information on language, its specific parts, its implementation for threads, no words are said about JVM, actually JVM event wasn't mentioned. So, then, what is this course about? I may say this course "A good introduction to parallel programming".

I hope the next course in this specialization will get much better.

par Felipe R

Mar 11, 2018

Practical exercises are not challenging at all. Some require changing 1 or 2 lines of code. Also, exercises are hard to test locally. Sometimes they fail on the student's machine and pass when submitted.

I don't understand why we used PCPD library, lessons should focus on Java API.

par Riccardo P

Jul 26, 2019

Not sure it deserves the money, YouTube has more content, but I love the prof dress