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