Chevron Left
Volver a Parallel Programming in Java

Opiniones y comentarios de aprendices correspondientes a Parallel Programming in Java por parte de Universidad Rice

1,151 calificaciones

Acerca del Curso

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)....

Principales reseñas


12 de dic. de 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.


27 de ago. de 2017

Great course. Introduces Parallel Programming in Java in a gentle way.

Kudos to Professor Vivek Sarkar for simplifying complex concepts and presenting them in an elegant manner.

Filtrar por:

1 - 25 de 241 revisiones para Parallel Programming in Java

por Felipe R

11 de mar. de 2018

por Pavel B

18 de nov. de 2017

por Oleksandr V

15 de mar. de 2019

por Rongpeng L

12 de nov. de 2018

por Roman H

24 de oct. de 2021

por Pratik S

15 de abr. de 2021

por Talgat Q

21 de abr. de 2018

por Julie L

14 de dic. de 2019

por Nikita S

4 de mar. de 2022

por Pushkar S

3 de may. de 2021

por Manmeet D

30 de ene. de 2022


20 de jul. de 2021

por Vladislav L

18 de mar. de 2021

por Riccardo P

26 de jul. de 2019

por David L

27 de ago. de 2017

por Ryan B

18 de sep. de 2017

por Santiago M Z O

30 de may. de 2020

por Fernando L C

6 de feb. de 2020

por Raymond S

16 de nov. de 2021

por Trilobiet I

7 de mar. de 2019

por Josh S

9 de feb. de 2018

por Sonu M

3 de dic. de 2018

por 남그롬간서치

8 de feb. de 2019

por Hannah V S (

28 de jun. de 2018

por Prathamesh B

22 de nov. de 2020