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  • Status: Free Trial
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    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
    ·
    158 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    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
    ·
    170 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, 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, Computer Architecture, Machine Learning

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    188 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google Cloud

    AI Infrastructure: Introduction to AI Hypercomputer

    Skills you'll gain: Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Computing Architecture, Performance Tuning, Infrastructure Architecture, Artificial Intelligence, Hardware Architecture

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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: New
    New
    G

    Google Cloud

    AI Infrastructure: Storage Options

    Skills you'll gain: Data Infrastructure, Model Deployment, Data Processing, Data Pipelines

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Preview
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    N

    NVIDIA

    The Fundamentals of RDMA Programming

    Skills you'll gain: Remote Access Systems, TCP/IP, Network Protocols, System Programming, Operating Systems, Hardware Architecture, Performance Tuning, Computer Hardware

    4.6
    Rating, 4.6 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Siemens

    Applied Computational Fluid Dynamics

    Skills you'll gain: Engineering Analysis, Thermal Management, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Mathematical Modeling, Chemical Engineering, Scientific Visualization, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    177 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    746 reviews

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • 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, Java Programming, Other Programming Languages, Performance Tuning

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Command Line Tools for Genomic Data Science

    Skills you'll gain: Unix Commands, Bioinformatics, Unix, Data Management, Command-Line Interface, Linux Commands, Molecular Biology, Big Data, File Management, Data Analysis Software, Data Processing

    4
    Rating, 4 out of 5 stars
    ·
    570 reviews

    Mixed · Course · 1 - 4 Weeks

Searches related to hpc

hec
hplc
hec paris
hec ras
hpe aruba networking
hec montreal
hec hms
hec finance
1234…9

In summary, here are 10 of our most popular hpc courses

  • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
  • High-Performance and Parallel Computing: University of Colorado Boulder
  • GPU Programming: Johns Hopkins University
  • AI Infrastructure: Introduction to AI Hypercomputer: Google Cloud
  • Parallel, Concurrent, and Distributed Programming in Java: Rice University
  • AI Infrastructure: Storage Options: Google Cloud
  • The Fundamentals of RDMA Programming: NVIDIA
  • Applied Computational Fluid Dynamics: Siemens
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • Introduction to Parallel Programming with CUDA: Johns Hopkins University

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