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

4.6

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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)....

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

创建者 Ruben C

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Nov 3, 2021

The course is interesting and well explained, but Coursera Grader is a pain: fails in nearly all miniprojects. The last one don't work at all.

创建者 Atsuya K

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Feb 5, 2018

Provides background material for the course on concurrency in the same specialization. Assignments are trivial.

创建者 Francisco R

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Sep 6, 2017

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

创建者 Phindulo M

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May 6, 2020

A very good introductory course only rating 3 star because the projects did not feel greatly involving.

创建者 Rahul M

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Nov 22, 2017

good coverage of basics.. would have been great if there were few more coding practice papers.

创建者 Hieu D

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Apr 9, 2018

Heavy theory but poor practical. Need more enhancement for the next time.

创建者 Mohamed E

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Sep 17, 2018

Focusing more on theoretical parts

创建者 MIAO K

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Aug 29, 2017

Good overview, but less details

创建者 Upasana S

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Oct 27, 2020

Good part is that I have learnt quite a lot of things from this course and I enjoyed it. Not so good part is that I don't get answers to my questions I post on the forums, graders are not working correctly and I don't know the correct answers to the quiz (once I passed it, it would be nice to know the answers to the ones I answered incorrectly). I feel cheated because I paid for the course, but it makes me feel like I wasted my money a bit.

创建者 Wenrui W

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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.