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.
This course is part of the Parallel, Concurrent, and Distributed Programming in Java Specialization
About this Course
Skills you will gain
- Parallel Computing
- Java Concurrency
- Data Parallelism
Syllabus - What you will learn from this course
Welcome to the Course!
Talking to Two Sigma: Using it in the Field
Data flow Synchronization and Pipelining
Continue Your Journey with the Specialization "Parallel, Concurrent, and Distributed Programming in Java"
- 5 stars68.90%
- 4 stars23.02%
- 3 stars6.52%
- 2 stars1.11%
- 1 star0.42%
TOP REVIEWS FROM PARALLEL PROGRAMMING IN JAVA
The combination of quiz and programming assignment helps understanding the course in a quite nice way. I will finish up the other two courses for sure.
Explanation of theory was best. But Assignments lacked clarity. For example, we might expect little more clarification about threads In order to use them effectively
I have never known these things existed and changed my perspective how to take advantage of multiple processor. I have used numpy in python but now I know how these are fast.
It was actually quite fun. I particularly enjoyed the Two Sigma interviews, which gave me a better understanding about how the course concepts are applied in business.
About the Parallel, Concurrent, and Distributed Programming in Java Specialization
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