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    • Parallel Programming

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    277 results for "parallel programming"

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      Rice University

      Parallel Programming in Java

      Skills you'll gain: Computer Science, Computer Programming, Java Programming, Algorithms, Theoretical Computer Science, Computational Logic, Operating Systems, System Programming, Applied Machine Learning, Computational Thinking, Machine Learning, Mobile Development, Programming Principles, Software Architecture, Software Engineering

      4.6

      (1.2k reviews)

      Intermediate · Course · 1-3 Months

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      École Polytechnique Fédérale de Lausanne

      Parallel programming

      Skills you'll gain: Computer Programming, Computer Science, Other Programming Languages, Algorithms, Theoretical Computer Science, Data Science, Machine Learning, Machine Learning Algorithms, Scala Programming, Computational Thinking, Data Management

      4.4

      (1.8k reviews)

      Intermediate · Course · 1-4 Weeks

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      Johns Hopkins University

      Introduction to Parallel Programming with CUDA

      Skills you'll gain: Algorithms

      3.5

      (6 reviews)

      Intermediate · Course · 1-3 Months

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      École Polytechnique Fédérale de Lausanne

      Parallel programming (Scala 2 version)

      Skills you'll gain: Computer Programming, Theoretical Computer Science, Algorithms

      Intermediate · Course · 1-4 Weeks

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      École Polytechnique Fédérale de Lausanne

      Functional Programming in Scala

      Skills you'll gain: Computer Programming, Other Programming Languages, Computer Science, Scala Programming, Theoretical Computer Science, Apache, Big Data, Data Management, Programming Principles, Algorithms, Computational Thinking, Data Science, Machine Learning, Machine Learning Algorithms, Computational Logic, Computer Programming Tools, Data Analysis, Data Analysis Software, Data Mining, Data Structures, Mathematical Theory & Analysis, Mathematics, SQL

      4.7

      (10.5k reviews)

      Intermediate · Specialization · 3-6 Months

    • Free

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      Ludwig-Maximilians-Universität München (LMU)

      Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

      Skills you'll gain: Differential Equations, Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Calculus, Computational Thinking, Computer Graphic Techniques, Computer Graphics, Computer Programming, Linear Algebra, Operations Research, Research and Design, Strategy and Operations, Theoretical Computer Science

      4.7

      (311 reviews)

      Intermediate · Course · 1-3 Months

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      École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark

      Skills you'll gain: Apache, Big Data, Computer Programming, Data Management, Other Programming Languages, Data Analysis, Data Analysis Software, SQL, Scala Programming

      4.6

      (2.6k reviews)

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Create Your First Multithreaded Application in Java

      Skills you'll gain: Computer Architecture, Computer Programming, Distributed Computing Architecture, Java Programming, Operating Systems

      4.5

      (100 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark (Scala 2 version)

      Skills you'll gain: Big Data, SQL, Scala Programming

      Intermediate · Course · 1-4 Weeks

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      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Computer Programming, Computer Architecture, Distributed Computing Architecture, Linux, Operating Systems, Software Engineering, Computational Thinking, Computer Programming Tools, Data Analysis, Programming Principles, Software Architecture, Software Testing, Theoretical Computer Science

      3.1

      (67 reviews)

      Beginner · Course · 1-4 Weeks

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      Johns Hopkins University

      CUDA at Scale for the Enterprise

      Skills you'll gain: Algorithms

      Intermediate · Course · 1-3 Months

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      LearnQuest

      Java as a Second Language

      Skills you'll gain: Computer Programming, Java Programming, Mobile Development, Web Development, Programming Principles, Data Management, Data Structures, Full-Stack Web Development, Theoretical Computer Science, Computer Programming Tools, Project Management, Strategy and Operations, Journalism

      4.3

      (144 reviews)

      Intermediate · Specialization · 3-6 Months

    Searches related to parallel programming

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    1234…24

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

    • Parallel Programming in Java: Rice University
    • Parallel programming: École Polytechnique Fédérale de Lausanne
    • Introduction to Parallel Programming with CUDA: Johns Hopkins University
    • Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne
    • Functional Programming in Scala: École Polytechnique Fédérale de Lausanne
    • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
    • Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
    • Create Your First Multithreaded Application in Java: Coursera Project Network
    • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder

    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 concept in computing where a computer uses its resources to solve a problem. The computer breaks the problem down into multiple steps in order to process more information at a time. Parallel programming allows a computer to complete tasks quickly and more efficiently than if the computer solved one section of the problem at a time. Your laptop or desktop computer, smartphone, and tablet rely on parallel programming to process data quickly, allowing you to get better and faster performance from them.‎

    • If you're programming computer software or an application, relying on parallel programming allows you to create an app that's more responsive for users. Games run more quickly and are more fun when parallel programming allows you to play them in real-time. Internet searches are more efficient and accurate when the device you're on uses parallel programming to perform the search. Video looks smoother, and audio sounds better on devices that use parallel programming. In short, parallel programming makes the apps and sites that you use every day perform their best.‎

    • If you're interested in changing to a career in computer programming, you can apply for software engineering and computer architecture engineering positions in cutting-edge technological companies. Once you've learned parallel programming, you'll be able to develop apps and software programs that run faster and more smoothly. Many cloud applications rely on parallel programming, so you can look for positions with companies developing this rapidly growing sector of technology.‎

    • When you take online courses on Coursera in parallel programming, you'll learn from international experts from prestigious schools like École Polytechnique Fédérale de Lausanne and successful companies like Oracle Labs. Instructors from our partner organizations will give you a thorough grasp of the principles of parallel programming, as well as real-world applications. Once you've finished the course, you'll have confident knowledge that can lead you to a new, successful programming career. Best of all, you can learn at your own pace and on a schedule that fits your lifestyle.‎

    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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