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Parallel Programming with Scala Training

Live Online & Classroom Enterprise Training

This course introduces the principles and practical techniques of parallel programming using Scala. Learners gain hands-on experience in designing, implementing, and optimizing parallel and concurrent programs to fully utilize modern multi-core and distributed systems.

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What is Parallel Programming with Scala Training about?

Parallel Programming with Scala focuses on building high-performance, scalable applications by leveraging Scala’s functional programming model and concurrency abstractions. The course covers parallel collections, futures, promises, and task-based parallelism, enabling developers to write safe, efficient, and maintainable parallel code.

What are the objectives of Parallel Programming with Scala Training ?

  • Understand fundamentals of parallel and concurrent programming
  • Apply parallel collections for performance improvement
  • Use Futures and Promises for asynchronous computation
  • Design thread-safe and scalable Scala applications
  • Optimize programs for multi-core architectures

Who is Parallel Programming with Scala Training for?

  • Scala developers aiming to build high-performance applications
  • Software engineers working with concurrent systems
  • Backend developers handling compute-intensive workloads
  • Functional programmers expanding into parallelism
  • Professionals preparing for advanced Scala roles

What are the prerequisites for Parallel Programming with Scala Training?

Prerequisites:

  • Basic knowledge of Scala programming
  • Understanding of functional programming concepts
  • Familiarity with data structures and algorithms
  • Basic awareness of multithreading concepts
  • Experience with JVM-based development


Learning Path:

  • Scala fundamentals and functional programming
  • Introduction to concurrency and parallelism concepts
  • Parallel collections and data processing
  • Futures, Promises, and asynchronous workflows
  • Advanced parallel patterns and performance tuning


Related Courses:

  • Functional Programming in Scala
  • Advanced Scala Programming
  • Concurrent Programming on the JVM
  • Distributed Systems Fundamentals

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

  • What is parallel programming?
  • Why use parallel programming in Scala?
  • Difference between parallel and concurrent programming
  • Goals of parallel programming (performance, responsiveness)
  • When to use parallelism vs concurrency
  • Examples of parallel tasks (data processing, computational tasks)
  • Creating parallel collections in Scala
  • Converting sequential collections to parallel using .par
  • Parallel versions of Seq, List, Vector, etc.
  • Understanding what “semantics” means in parallel execution
  • Effects of parallel operations on shared resources
  • How tasks interact and synchronize in Scala
  • Futures and asynchronous computation
  • Multithreading basics in Scala
  • Actor model (overview — e.g., Akka library) (Discussed within Scala concurrency context)
  • Parallel operations on collections
  • Typical use cases (map/reduce in parallel)
  • Performance benefits and trade-offs
  • When not to use parallelism
  • Combining parallelism with functional programming
  • Debugging and performance measurement

Who is the instructor for this training?

The trainer for this Parallel Programming with Scala Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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