About this Course

55,300 recent views

Learner Career Outcomes

11%

started a new career after completing these courses

11%

got a tangible career benefit from this course

14%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 19 hours to complete
English

Skills you will gain

DataflowParallel ComputingJava ConcurrencyData Parallelism

Learner Career Outcomes

11%

started a new career after completing these courses

11%

got a tangible career benefit from this course

14%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 19 hours to complete
English

Instructor

Offered by

Placeholder

Rice University

Syllabus - What you will learn from this course

Content RatingThumbs Up95%(3,314 ratings)Info
Week
1

Week 1

1 hour to complete

Welcome to the Course!

1 hour to complete
1 video (Total 1 min), 5 readings, 1 quiz
1 video
5 readings
General Course Info5m
Course Icon Legend5m
Discussion Forum Guidelines5m
Pre-Course Survey10m
Mini Project 0: Setup10m
4 hours to complete

Task Parallelism

4 hours to complete
7 videos (Total 42 min), 6 readings, 2 quizzes
7 videos
1.2 Tasks in Java's Fork/Join Framework5m
1.3 Computation Graphs, Work, Span7m
1.4 Multiprocessor Scheduling, Parallel Speedup8m
1.5 Amdahl's Law5m
ReciprocalArraySum using Async-Finish (Demo)4m
ReciprocalArraySum using RecursiveAction's in Java's Fork/Join Framework (Demo)5m
6 readings
1.1 Lecture Summary5m
1.2 Lecture Summary5m
1.3 Lecture Summary5m
1.4 Lecture Summary5m
1.5 Lecture Summary5m
Mini Project 1: Reciprocal-Array-Sum using the Java Fork/Join Framework10m
1 practice exercise
Module 1 Quiz30m
Week
2

Week 2

4 hours to complete

Functional Parallelism

4 hours to complete
7 videos (Total 40 min), 6 readings, 2 quizzes
7 videos
2.2 Futures in Java's Fork/Join Framework5m
2.3 Memoization6m
2.4 Java Streams5m
2.5 Data Races and Determinism9m
ReciprocalArraySum using RecursiveTask's in Java's Fork/Join Framework (Demo)3m
Parallel List Processing Using Java Streams (Demo)4m
6 readings
2.1 Lecture Summary10m
2.2 Lecture Summary10m
2.3 Lecture Summary10m
2.4 Lecture Summary10m
2.5 Lecture Summary10m
Mini Project 2: Analyzing Student Statistics Using Java Parallel Streams10m
1 practice exercise
Module 2 Quiz30m
23 minutes to complete

Talking to Two Sigma: Using it in the Field

23 minutes to complete
2 videos (Total 13 min), 1 reading
2 videos
Industry Professionals on Parallelism - Jake Kornblau and Margaret Kelley, Software Engineers6m
1 reading
About these Talks10m
Week
3

Week 3

4 hours to complete

Loop Parallelism

4 hours to complete
7 videos (Total 41 min), 6 readings, 2 quizzes
7 videos
3.2 Parallel Matrix Multiplication4m
3.3 Barriers in Parallel Loops5m
3.4 Parallel One-Dimensional Iterative Averaging8m
3.5 Iteration Grouping/Chunking in Parallel Loops6m
Parallel Matrix Multiplication (Demo)4m
Parallel One-Dimensional Iterative Averaging (Demo)5m
6 readings
3.1 Lecture Summary10m
3.2 Lecture Summary10m
3.3 Lecture Summary10m
3.4 Lecture Summary10m
3.5 Lecture Summary10m
Mini Project 3: Parallelizing Matrix-Matrix Multiply Using Loop Parallelism10m
1 practice exercise
Module 3 Quiz30m
Week
4

Week 4

5 hours to complete

Data flow Synchronization and Pipelining

5 hours to complete
7 videos (Total 38 min), 7 readings, 2 quizzes
7 videos
4.2 Point-to-Point Sychronization with Phasers4m
4.3 One-Dimensional Iterative Averaging with Phasers4m
4.4 Pipeline Parallelism5m
4.5 Data Flow Parallelism5m
Phaser Examples6m
Pipeline & Data Flow Parallelism7m
7 readings
4.1 Lecture Summary10m
4.2 Lecture Summary10m
4.3 Lecture Summary10m
4.4 Lecture Summary10m
4.5 Lecture Summary10m
Mini Project 4: Using Phasers to Optimize Data-Parallel Applications10m
Exit Survey10m
1 practice exercise
Module 4 Quiz30m
20 minutes to complete

Continue Your Journey with the Specialization "Parallel, Concurrent, and Distributed Programming in Java"

20 minutes to complete
2 videos (Total 10 min), 1 reading
2 videos
Industry Professional on Distribution - Dr. Eric Allen, Senior Vice President, Two Sigma6m
1 reading
Our Other Course Offerings10m

Reviews

TOP REVIEWS FROM PARALLEL PROGRAMMING IN JAVA

View all reviews

About the Parallel, Concurrent, and Distributed Programming in Java Specialization

Parallel, Concurrent, and Distributed Programming in Java

Frequently Asked Questions

More questions? Visit the Learner Help Center.