What will you learn in Parallel Programming in Java Course
Understand fundamentals of parallel programming in Java, including multicore computation concepts.
Learn task parallelism using Java’s Fork/Join framework.
Explore functional parallelism with Futures, Streams, and memoization techniques.
Master loop-level parallelism with barriers, iteration grouping, and chunking.
Implement dataflow parallelism using the Phaser framework and data-driven tasks.
Program Overview
Module 1: Welcome to Parallel Programming in Java
⏳ 1 hour
Course introduction, setup, and mini-project 0.
Learn the course structure, discussion guidelines, and programming environment.
Module 2: Task Parallelism
⏳ 3 hours
Learn task creation, termination, and computation graph models.
Explore Java Fork/Join framework for task-based parallel programming.
Hands-on mini-project: Reciprocal Array Sum using Fork/Join.
Module 3: Functional Parallelism
⏳ 4 hours
Learn functional parallelism concepts: Futures, Streams, memoization.
Understand data races and determinism.
Hands-on mini-project: Parallel List Processing using Java Streams.
Module 4–7: Advanced Parallel Techniques
⏳ 4–6 hours each
Loop-level parallelism, barriers, chunking, and Phaser-based dataflow parallelism.
Practical coding assignments to reinforce concepts.
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Job Outlook
Skills in parallel programming are critical for high-performance computing, enterprise applications, and server-side Java development.
Roles include Java Developer, Software Engineer, HPC Programmer, and Systems Engineer.
Expertise in multicore parallelism enhances efficiency in data processing, simulations, and performance-critical applications.
Specification: Parallel Programming in Java
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