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Avis et commentaires pour d'étudiants pour Parallel Programming in Java par Université de Rice

4.6
étoiles
1,005 évaluations
•
213 avis

À propos du cours

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)....

Meilleurs avis

LG
12 déc. 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 août 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 sur 211 Avis pour Parallel Programming in Java

par Mehul S

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8 nov. 2018

Very informative course.

par Катерина П

•
5 mai 2020

It was very interesting

par Junqi X

•
27 févr. 2020

Very interesting topic.

par Grigorii N

•
24 oct. 2018

The course is good!

par Tai H T

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24 oct. 2017

Interesting course!

par Phuong L

•
9 août 2020

Precious knowledge

par DaeMyung K

•
21 févr. 2018

Very good and kind

par Luiz E

•
10 déc. 2017

Awesome professor!

par Леонид С

•
8 oct. 2020

Excellent course

par Carlos A R

•
23 oct. 2019

Really didactic!

par chen x

•
15 oct. 2017

Very impressive!

par Sudharaka P

•
6 nov. 2018

Great course!!!

par Filipe S V

•
8 août 2020

Learned a lot.

par Guillermo D

•
2 janv. 2019

Great Course!!

par Dziubenko V

•
9 nov. 2020

Grate course!

par José A X C

•
9 nov. 2017

great course.

par Russell G

•
14 août 2017

Great course!

par Light0617

•
1 nov. 2018

wonderful!!!

par Vaibhav j

•
21 sept. 2017

Great Course

par Jasur A

•
6 juin 2020

It is clear

par Мухин С А

•
25 sept. 2018

Всё хорошо

par s v s g

•
30 avr. 2020

very good

par Marcos N F

•
3 mai 2019

Excelente

par Jonathan H

•
27 sept. 2018

awesome

par Виталий Д

•
16 nov. 2020

Good!

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