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  • Parallel Programming

Parallel Programming Courses

Parallel programming courses can help you learn multithreading, synchronization, and performance optimization techniques. You can build skills in designing algorithms that efficiently utilize multiple processors and managing shared resources. Many courses introduce tools like OpenMP, MPI, and CUDA, that support implementing parallel computing solutions in various applications, from scientific simulations to data processing tasks.


Popular Parallel Programming Courses and Certifications


  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Parallel programming

    Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Scalability, Java Programming, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Parallel Programming in Java

    Skills you'll gain: Dataflow, Java, Distributed Computing, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Functional Design, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Scalability, Deep Learning, C and C++, Performance Tuning, Convolutional Neural Networks, Data-oriented programming, C++ (Programming Language), Digital Signal Processing, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Mathematical Software, Numerical Analysis, Programming Principles, Data Processing, Computer Architecture, Machine Learning

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    183 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Parallel, Concurrent, and Distributed Programming in Java

    Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Dataflow, Java Programming, Java, Software Architecture, Systems Architecture, Scala Programming, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Functional Design, Performance Testing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to High-Performance and Parallel Computing

    Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Big Data, Operating Systems, File Systems, Linux, Scripting, Command-Line Interface, Performance Tuning, Programming Principles, Computer Architecture

    Build toward a degree

    3.7
    Rating, 3.7 out of 5 stars
    ·
    150 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    High-Performance and Parallel Computing

    Skills you'll gain: Bash (Scripting Language), Distributed Computing, Scalability, Software Architecture, File I/O, Big Data, Operating Systems, File Systems, Cloud Development, Scripting, Command-Line Interface, C and C++, Performance Tuning, Linux, Programming Principles, Computer Architecture, Communication Systems

    3.8
    Rating, 3.8 out of 5 stars
    ·
    160 reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Parallel Programming with CUDA

    Skills you'll gain: Performance Tuning, Data-oriented programming, System Programming, C and C++, Computer Architecture, Algorithms, Development Environment, Debugging

    2.7
    Rating, 2.7 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Programming with JavaScript

    Skills you'll gain: Jest (JavaScript Testing Framework), Web Development Tools, Javascript, Unit Testing, Web Applications, Object Oriented Programming (OOP), Node.JS, JSON, Computer Programming, Data Structures, Debugging, Package and Software Management, Program Development, Front-End Web Development, Functional Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Concurrent and Parallel Programming in Python

    Skills you'll gain: Performance Tuning, Python Programming, OS Process Management, Data Processing, Scalability, Database Management

    3.7
    Rating, 3.7 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Distributed Programming in Java

    Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java, Software Architecture, Systems Architecture, Programming Principles, Scala Programming, Servers, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    505 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    B

    Birla Institute of Technology & Science, Pilani

    Object Oriented Programming

    Skills you'll gain: Java Programming, Object Oriented Programming (OOP), File I/O, Programming Principles, Data Structures, Software Engineering, Unit Testing, Debugging, OS Process Management, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    B

    Birla Institute of Technology & Science, Pilani

    Network Programming and Client-Server Programming

    Skills you'll gain: Web Servers, Distributed Computing, Application Servers, Servers, Network Architecture, System Programming, Network Protocols, Systems Architecture, TCP/IP, Computer Networking, Network Performance Management, Scalability, File Transfer Protocol (FTP), System Design and Implementation, Web Services, Microservices, File Systems, Debugging, Software Development, Application Programming Interface (API)

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular parallel programming courses

  • Parallel programming: École Polytechnique Fédérale de Lausanne
  • Parallel Programming in Java: Rice University
  • GPU Programming: Johns Hopkins University
  • Parallel, Concurrent, and Distributed Programming in Java: Rice University
  • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
  • High-Performance and Parallel Computing: University of Colorado Boulder
  • Introduction to Parallel Programming with CUDA: Johns Hopkins University
  • Programming with JavaScript: Meta
  • Concurrent and Parallel Programming in Python: Packt
  • Distributed Programming in Java: Rice University

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

Frequently Asked Questions about Parallel Programming

Parallel programming is a method of programming that enables multiple processes to run simultaneously, improving the efficiency and performance of software applications. It is important because it allows developers to leverage the capabilities of modern multi-core processors, making applications faster and more responsive. By utilizing parallel programming techniques, developers can solve complex problems more efficiently, which is crucial in fields such as data analysis, scientific computing, and real-time processing.‎

A variety of job opportunities exist in the field of parallel programming. Positions such as software engineer, data scientist, and systems architect often require knowledge of parallel programming techniques. Additionally, roles in high-performance computing, game development, and cloud computing increasingly seek professionals who can optimize applications for parallel execution. As industries continue to embrace data-driven decision-making, the demand for skilled individuals in parallel programming is likely to grow.‎

To succeed in parallel programming, you should develop a strong foundation in programming languages such as Java, Python, or Scala. Understanding algorithms and data structures is also essential, as they play a critical role in designing efficient parallel solutions. Familiarity with parallel computing frameworks and tools, such as CUDA for GPU programming or OpenMP for multi-threading, will further enhance your skill set. Additionally, problem-solving skills and an understanding of concurrency concepts are vital for effective parallel programming.‎

There are several excellent online courses available for learning parallel programming. For instance, the Parallel, Concurrent, and Distributed Programming in Java Specialization offers a comprehensive introduction to these concepts using Java. If you're interested in Python, the course on Concurrent and Parallel Programming in Python provides practical insights. Additionally, the Introduction to Parallel Programming with CUDA course is ideal for those looking to explore GPU programming.‎

Yes. You can start learning parallel programming on Coursera for free in two ways:

  1. Preview the first module of many parallel programming courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in parallel programming, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn parallel programming, start by selecting a programming language that supports parallelism, such as Java or Python. Begin with introductory courses that cover the basics of parallel programming concepts and techniques. Practice by working on small projects or exercises that require parallel processing. As you gain confidence, explore more advanced topics and frameworks. Engaging with online communities or forums can also provide support and resources as you progress in your learning journey.‎

Typical topics covered in parallel programming courses include the fundamentals of concurrency, parallel algorithms, synchronization techniques, and performance optimization. Courses often explore specific programming models and frameworks, such as multi-threading in Java or parallel processing in Python. Additionally, students may learn about the architecture of multi-core processors and how to effectively utilize them for parallel execution. Real-world applications and case studies are also commonly included to illustrate the practical use of parallel programming.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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