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Kursteilnehmer-Bewertung und -Feedback für Parallel Programming in Java von Rice University

4.6
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842 Bewertungen
172 Bewertungen

Über den Kurs

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-Bewertungen

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.

SP

May 17, 2020

I found this course very useful. I can see the utilisation of parallel computing in many fields of software development industry. So it's really useful for developers.

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126 - 150 von 172 Bewertungen für Parallel Programming in Java

von Naveen k G N

Jul 05, 2020

Explanation of theory was best. But Assignments lacked clarity. For example, we might expect little more clarification about threads In order to use them effectively

von Mehmet A B

Jan 28, 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.

von Sarvasva R

Aug 30, 2017

Introduction to theoretical concepts was good, but not very deep. The exercises didn't really contribute much to my understanding of the course material in general.

von yasmin

Feb 28, 2019

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.

von Thatiana F d O

Sep 05, 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.

von Akshat A

Sep 06, 2018

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

von Shady I

Sep 03, 2017

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

von 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.

von Marcin K

Nov 23, 2017

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

von Johannes D

Sep 29, 2017

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

von Arun N

Sep 17, 2017

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

von Ivan K

Jan 16, 2019

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

von Xiao X

Jan 25, 2018

-1 star due to the too-easy homework.

I wish the homework can be harder and more challenging.

von Fu S W

Aug 14, 2017

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

von Isaac A

Dec 27, 2018

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

von prabhakar k

May 28, 2020

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

von Prabhakar k

May 28, 2020

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

von Wei H

Jul 14, 2018

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

von Vishal V

Mar 10, 2018

Great Learning and understanding the parallelism concepts in java

von satwik b

May 01, 2020

please be more elaborate regarding programming assignments

von Prasanth R

Feb 10, 2018

The homework was too simple, could use better examples.

von Cong X

Oct 16, 2017

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

von Xiao L

May 30, 2020

Programming assignments are a bit too easy

von vini g

Apr 06, 2019

Would like more assignments and examples.

von Alexander S

Nov 12, 2017

Good course but very easy assignments