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

4.6
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1,072 Bewertungen
228 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

LG
12. Dez. 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
27. Aug. 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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101 - 125 von 226 Bewertungen für Parallel Programming in Java

von Milad T

18. Aug. 2020

Awesome, Thank you so much

von Gajula T L S V M

5. Juni 2020

very well developed course

von Daniel F G

13. März 2019

great content and mentors

von Nakibaman T

3. Mai 2018

Very helpful and advanced

von Oh, M W

10. März 2018

Very concise and helpful.

von Mehul S

8. Nov. 2018

Very informative course.

von Катерина П

5. Mai 2020

It was very interesting

von Junqi X

27. Feb. 2020

Very interesting topic.

von Grigorii N

24. Okt. 2018

The course is good!

von Tai H T

24. Okt. 2017

Interesting course!

von Phuong L

9. Aug. 2020

Precious knowledge

von DaeMyung K

21. Feb. 2018

Very good and kind

von Luiz E

10. Dez. 2017

Awesome professor!

von Леонид С

8. Okt. 2020

Excellent course

von Carlos A R

23. Okt. 2019

Really didactic!

von chen x

15. Okt. 2017

Very impressive!

von Sudharaka P

6. Nov. 2018

Great course!!!

von Filipe S V

8. Aug. 2020

Learned a lot.

von Guillermo D

2. Jan. 2019

Great Course!!

von Вадим Д

9. Nov. 2020

Grate course!

von José A X C

9. Nov. 2017

great course.

von Russell G

14. Aug. 2017

Great course!

von Naveenkumara J

21. Apr. 2021

good content

von Light0617

1. Nov. 2018

wonderful!!!

von Vaibhav j

21. Sep. 2017

Great Course