Name: Parallel Programming in Java
Brand: Rice University
Availability: OnlineOnly
Rating: 4.6 (263 reviews)

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学生对 Rice University 提供的 Parallel Programming in Java 的评价和反馈

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1,232 个评分

课程概述

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)....

126 - Parallel Programming in Java 的 150 个评论（共 263 个）

创建者 Leonardo S

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Aug 17, 2018

Very enjoyable and educational

创建者 Deleted A

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Jan 22, 2022

where's the unenrol button?

创建者 Milad T

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Aug 18, 2020

Awesome, Thank you so much

创建者 Gajula T L S V M

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Jun 5, 2020

very well developed course

创建者 Daniel F

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Mar 13, 2019

great content and mentors

创建者 Nakibaman T

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May 3, 2018

Very helpful and advanced

创建者 Oh, M W

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Mar 10, 2018

Very concise and helpful.

创建者 Mehul S

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Nov 8, 2018

Very informative course.

创建者 Kateryna P

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May 5, 2020

It was very interesting

创建者 Junqi X

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Feb 27, 2020

Very interesting topic.

创建者 TAIF A

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Nov 28, 2024

لقد استمتعت واستفدت

创建者 Grigorii N

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Oct 24, 2018

The course is good!

创建者 Tai H T

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Oct 24, 2017

Interesting course!

创建者 Phuong L

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Aug 9, 2020

Precious knowledge

创建者 DaeMyung K

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Feb 21, 2018

Very good and kind

创建者 Luiz E

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Dec 10, 2017

Awesome professor!

创建者 Anurup B

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Jan 5, 2022

Very good course

创建者 Леонид С

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Oct 8, 2020

Excellent course

创建者 Carlos A R

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Oct 23, 2019

Really didactic!

创建者 chen x

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Oct 15, 2017

Very impressive!

创建者 Sudharaka P

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Nov 5, 2018

Great course!!!

创建者 Filipe S

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Aug 7, 2020

Learned a lot.

创建者 Guillermo D

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Jan 2, 2019

Great Course!!

创建者 Вадим Д

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Nov 9, 2020

Grate course!

创建者 Antonio X

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Nov 8, 2017

great course.

学生对 Rice University 提供的 Parallel Programming in Java 的评价和反馈

课程概述

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126 - Parallel Programming in Java 的 150 个评论（共 263 个）