Parallel Programming in Java
Master multicore programming in Java 8 with ForkJoin, Stream, and Phaser frameworks. Learn theoretical foundations and practical implementations.
Master multicore programming in Java 8 with ForkJoin, Stream, and Phaser frameworks. Learn theoretical foundations and practical implementations.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Parallel, Concurrent, and Distributed Programming in Java Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
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What you'll learn
Master parallel programming concepts and implementation in Java
Utilize ForkJoin and Stream frameworks for efficient parallel processing
Implement task parallelism and functional parallelism
Optimize loop-level parallelism with barriers and iteration grouping
Develop data flow parallelism using the Phaser framework
Skills you'll gain
This course includes:
2.87 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This comprehensive course focuses on parallel programming concepts in Java 8, teaching developers how to leverage multicore processors for improved application performance. Students learn fundamental concepts including computation graphs, ideal parallelism, parallel speedup, and Amdahl's Law. The course covers practical implementations using modern Java frameworks like ForkJoin, Stream, and Phaser, enabling developers to write efficient parallel programs for various platforms from servers to mobile devices.
Welcome to the Course
Module 1 · 1 Hours to complete
Task Parallelism
Module 2 · 3 Hours to complete
Functional Parallelism
Module 3 · 4 Hours to complete
Talking to Two Sigma: Using it in the Field
Module 4 · 23 Minutes to complete
Loop Parallelism
Module 5 · 4 Hours to complete
Data flow Synchronization and Pipelining
Module 6 · 5 Hours to complete
Continue Your Journey with the Specialization
Module 7 · 20 Minutes to complete
Fee Structure
Instructor
Expert in Parallel Programming and Professor at Rice University
Dr. Vivek Sarkar is a Professor of Computer Science at Rice University, where he holds the E.D. Butcher Chair in Engineering. He is renowned for his contributions to parallel, concurrent, and distributed programming, as well as for developing the Habanero Java library and programming system, which are utilized in both teaching and research. Dr. Sarkar earned his B.Tech from the Indian Institute of Technology, Kanpur, an M.S. from the University of Wisconsin-Madison, and a Ph.D. from Stanford University. Before joining Rice in 2007, he spent two decades at IBM Research, where he led projects related to parallel software and was instrumental in releasing the open-source Jikes Research Virtual Machine for Java.At Rice University, Dr. Sarkar has taught various courses on concurrent and parallel programming, including "Concurrent Programming in Java" and "Distributed Programming in Java." He has also played a pivotal role in curriculum development, creating new courses such as Fundamentals of Parallel Programming and leading the Rice Online specialization on Parallel, Concurrent, and Distributed Programming on Coursera. His extensive research work includes programming languages, compiler optimizations, and runtime systems for high-performance computing.
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4.6 course rating
1,205 ratings
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