Parallel Programming in Java
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).
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Syllabus
Syllabus - What you will learn from this course
Week 1
Welcome to the Course!
Task Parallelism
Week 2
Functional Parallelism
Talking to Two Sigma: Using it in the Field
Week 3
Loop Parallelism
Week 4
Data flow Synchronization and Pipelining
Continue Your Journey with the Specialization “Parallel, Concurrent, and Distributed Programming in Java”
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
Excellent Course.I always wanted a good course on java concurrency and parallel programming.And finish->async, isolated, forAsync constructs are awesome.I have learnt much from this course.
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.
Good introduction to the concepts of parallel programming, the programming assignments were a bit easy though and could be made harder to improve the learning experience.
Very useful course about parallel programming theory and practice.
Could be less examples with custom libraries instead of standard java features looking to practical usage at work.
