Chevron Left
Parallel Programming in Java に戻る

ライス大学(Rice University) による Parallel Programming in Java の受講者のレビューおよびフィードバック

4.6
865件の評価
180件のレビュー

コースについて

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)....

人気のレビュー

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.

フィルター:

Parallel Programming in Java: 76 - 100 / 178 レビュー

by Hritish K

Apr 04, 2020

Awesome course, I've learnt a lot from it

by Abhinav M

Apr 07, 2020

Well paced, really informative course.

by Diya N

Jun 06, 2020

It was a great course. helped a lot.

by Enrique M

Jun 05, 2020

Great course and instructor! Thanks

by Leonardo S

Aug 17, 2018

Very enjoyable and educational

by Gajula T L S V M

Jun 05, 2020

very well developed course

by Daniel F G

Mar 14, 2019

great content and mentors

by Nakib A T

May 03, 2018

Very helpful and advanced

by Oh, M W

Mar 11, 2018

Very concise and helpful.

by Mehul S

Nov 08, 2018

Very informative course.

by Катерина П

May 05, 2020

It was very interesting

by Junqi X

Feb 28, 2020

Very interesting topic.

by Grigorii N

Oct 24, 2018

The course is good!

by Tai H T

Oct 25, 2017

Interesting course!

by DaeMyung K

Feb 22, 2018

Very good and kind

by Luiz E

Dec 10, 2017

Awesome professor!

by Carlos A R

Oct 23, 2019

Really didactic!

by chen x

Oct 15, 2017

Very impressive!

by Sudharaka P

Nov 06, 2018

Great course!!!

by Guillermo D

Jan 03, 2019

Great Course!!

by José A X C

Nov 09, 2017

great course.

by Russell G

Aug 14, 2017

Great course!

by Light0617

Nov 02, 2018

wonderful!!!

by Vaibhav j

Sep 21, 2017

Great Course

by Jasur A A

Jun 06, 2020

It is clear