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Voltar para Parallel Programming in Java

Comentários e feedback de alunos de Parallel Programming in Java da instituição Universidade Rice

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Sobre o 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)....

Melhores avaliações

LG

12 de dez 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.

SV

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.

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por Felipe R

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por Oleksandr V

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por Rongpeng L

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26 de jul de 2019

por David L

27 de ago de 2017

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por Santiago M Z O

30 de mai de 2020

por Fernando L C

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por Raymond S

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por Trilobiet I

7 de mar de 2019

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3 de dez de 2018

por 남그롬간서치

8 de fev de 2019

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28 de jun de 2018

por Prathamesh B

22 de nov de 2020