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

4.6
677 notes
136 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

LG

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.

SV

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 - 136 sur 136 Examens pour Parallel Programming in Java

par Gary S

May 30, 2018

Although much of the content was informative and well taught, half of the programming assignments were either rudimentary or completely unnecessary since the answer was given in the provided file. On the whole, this course was just too short and too easy.

par Francisco R R

Sep 06, 2017

I would prefer see examples based on standard Java code, not in a library developed for some small group.

par Samuele M

Apr 12, 2018

Course is interesting, but lacks in contents: just few patterns are explained, and few concepts about parallelism, and there are very little details about further algorithms. Assignments, projects in particular, are quite useless or incredibly easy, or need usage or knowledge of libraries not explained/used in course, and included in "optional readings". Lessons are really clear (bravo! to the Professor), but quite short, since whole course doesn't reach 2 hours of lesson. I definitively think that course can be improved with more contents.

par Vincent M

Mar 10, 2018

Subject is very interesting. However course is sometimes unclear, and assignments sometimes are related with the specific library developed by the professor, not with the generic Java implementations. However I'm happy to have completed this course, i've learned a lot.

par Mohamed E

Sep 17, 2018

Focusing more on theoretical parts

par Oleksandr V

Mar 15, 2019

I enrolled in this specific course (not in the whole specialization). Later It turned out that you are not allowed to submit code if you have an unpaid subscription. Fine, I decided to pay for it. After all, someone invested his time in creating the course. Then, for some reason, I have got a subscription for the whole program, not a single course. I did not realize that and got charged the second time after the first month past. But okay, probably I did not understand the whole procedure around it.

BUT...

The amount of information is very small. For 42 Euro you get few lectures and few quite basic exercises.

In most of the tasks you need o write only a couple of lines of code. The evaluation is not reliable. You can do your task right way, but it will not pass test from the first time and you are not sure if your are doing something wrong or what is the reason of the failure. Then you just resubmit the same code and after second, third or fourth time it suddenly works.

I can understand that in concurrent environment sometimes it is hard to achieve stable performance.

All together this leads to a bad experience. It is not the quality I've got used to when watching other courses here. Not worth its money. It is better to buy a book or the same amount.

par WANG 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.

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 Wen L

Oct 25, 2017

Please make the homework better.

par Riccardo P

Jul 26, 2019

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