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Parallel Programming (Scala 2 version)
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Parallel Programming (Scala 2 version)

Master parallel programming in Scala: Learn task and data parallelism, functional concepts, and performance optimization.

Course Cost

₹ 2,699

Intermediate

Skill Level

30 Hours

Self-paced lessons

This intermediate-level course explores the fundamentals of parallel programming using Scala 2. Students will learn to leverage multi-core processors for improved performance, focusing on both task and data parallelism. The course covers essential concepts such as parallel collections, algorithms like parallel merge sort, and operations including map, reduce, and scan. Participants will gain hands-on experience through programming assignments, analyzing real-world data with algorithms like k-means clustering. By the end, students will be able to design, implement, and benchmark efficient parallel programs using Scala's parallel collections library.

What you'll learn

  • Understand and implement task and data parallel programs

  • Apply functional programming concepts to parallel scenarios

  • Design and analyze parallel algorithms such as merge sort and scan

  • Use Scala's parallel collections library effectively

  • Implement parallel versions of map, reduce, and fold operations

  • Develop skills in microbenchmarking parallel code

  • Gain practical experience with real-world parallel algorithms like k-means clustering

  • Understand the internals of data structures for parallel computing

Skills you'll gain

parallel programming
Scala
task parallelism
data parallelism
parallel algorithms
functional programming
performance optimization
parallel collections

This course includes:

5 Hours PreRecorded video

9 programming assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This course provides a comprehensive introduction to parallel programming using Scala 2. Students will learn to harness the power of multi-core processors through both task and data parallelism. The curriculum covers fundamental concepts such as parallel collections, algorithms, and operations, with a focus on applying functional programming ideas to parallel scenarios. Through hands-on programming assignments, students will implement and analyze parallel versions of algorithms like merge sort, k-means clustering, and Barnes-Hut simulation. The course emphasizes practical skills in designing, implementing, and benchmarking parallel programs, preparing students to write efficient parallel code for real-world applications.

Parallel Programming

Module 1 · 11 Hours to complete

Basic Task Parallel Algorithms

Module 2 · 7 Hours to complete

Data-Parallelism

Module 3 · 6 Hours to complete

Data Structures for Parallel Computing

Module 4 · 6 Hours to complete

Fee Structure

Payment options

Financial Aid

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Parallel Programming (Scala 2 version)

Intermediate

Skill Level

30 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.