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  • High Performance Computing

High Performance Computing Courses

High Performance Computing courses can help you learn parallel processing, algorithm optimization, and data management techniques. You can build skills in performance tuning, workload balancing, and utilizing distributed systems effectively. Many courses introduce tools such as MPI, OpenMP, and CUDA, that support implementing high-performance applications and conducting simulations in fields like scientific computing and big data analysis.


Popular High Performance Computing Courses and Certifications


  • P

    Packt

    GPU Programming with C++ and CUDA

    Skills you'll gain: C and C++, C++ (Programming Language), Development Environment, Performance Tuning, Test Tools, System Programming, Docker (Software), Computer Architecture, Containerization, Development Testing, Programming Principles, Software Development Tools, Hardware Architecture, Algorithms, Computer Programming, Python Programming, Debugging, Memory Management, Software-Defined Networking, Scripting

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    High-Performance and Parallel Computing

    Skills you'll gain: Hardware Architecture, Microarchitecture, Bash (Scripting Language), Distributed Computing, Scalability, Memory Management, Shell Script, Computer Systems, Big Data, Linux Commands, Operating Systems, File Systems, Performance Testing, Cloud Development, C and C++, Linux, Computing Platforms, Data Import/Export, C++ (Programming Language), Communication Systems

    ★ 3.8 (179) · Advanced · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Introduction to High-Performance and Parallel Computing

    Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Shell Script, Computer Systems, Big Data, Linux Commands, Hardware Architecture, Operating Systems, File Systems, Computing Platforms, Linux, Performance Testing, Scripting, Performance Tuning, Memory Management, Programming Principles, Capacity Management, File Management

    ★ 3.7 (165) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Program Development, Scalability, Applied Machine Learning, Deep Learning, C and C++, Memory Management, Performance Tuning, Software Development, C++ (Programming Language), Dataflow, Digital Signal Processing, Linear Algebra, Distributed Computing, System Programming, Hardware Architecture, Mathematical Software, Machine Learning

    ★ 2.9 (197) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • É

    École Polytechnique Fédérale de Lausanne

    Parallel programming

    Skills you'll gain: Scala Programming, Data Structures, Algorithms, Programming Principles, Functional Design, Java Programming, Other Programming Languages, Performance Tuning, Performance Testing

    ★ 4.4 (1.8K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    GPU Clusters & Containers

    Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Cloud Deployment, Kubernetes, Applied Machine Learning, Model Training, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered

What brings you to Coursera today?

  • U

    University of Colorado Boulder

    Efficient Programming

    Skills you'll gain: Hardware Architecture, Microarchitecture, Memory Management, Cloud Development, Computing Platforms

    ★ 4.4 (9) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    AI Infrastructure: Introduction to AI Hypercomputer

    Skills you'll gain: Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Infrastructure, Model Optimization, Cloud Computing Architecture, Performance Tuning, Computer Architecture, AI Workflows, Model Training, Artificial Intelligence, Hardware Architecture, Systems Architecture

    ★ 4.2 (18) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of London

    Applied Mathematical Methods for Computing

    Skills you'll gain: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Geometry, Applied Mathematics, Statistics, Statistical Analysis, Statistical Methods, Probability, Algorithms, Algebra, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • H

    Harvard Business Review

    Build High-Performing Teams

    Skills you'll gain: Innovation, Team Performance Management, Constructive Feedback, Talent Management, Employee Retention, Teamwork, Employee Coaching, Team Building, Team Collaboration, Crisis Management, Creative Thinking, Talent Recruitment, Team Management, Virtual Teams, Curiosity, Creativity, Organizational Change, Strategic Leadership, Leadership, Leadership Development

    ★ 4.8 (6) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    AI Infrastructure:AI Hypercomputer 简介

    Skills you'll gain: Google Cloud Platform, Model Deployment, Cloud Infrastructure, Cloud Deployment, Model Optimization, Infrastructure Architecture, Computer Architecture, AI Workflows, Hardware Architecture, Model Training, AI literacy, Performance Tuning, Artificial Intelligence, Systems Architecture

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Advanced Unix System Programming and Performance

    Skills you'll gain: Unix Shell, Unix Commands, Unix, Shell Script, Command-Line Interface, Remote Access Systems, Scripting, Systems Administration, Operating System Administration, File I/O, IT Automation, User Accounts, File Systems, System Monitoring, Operating Systems, File Management, Performance Tuning, User Provisioning, OS Process Management, Authorization (Computing)

    ★ 4.8 (60) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…824

In summary, here are 10 of our most popular high performance computing courses

  • GPU Programming with C++ and CUDA: Packt
  • High-Performance and Parallel Computing: University of Colorado Boulder
  • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
  • GPU Programming: Johns Hopkins University
  • Parallel programming: École Polytechnique Fédérale de Lausanne
  • GPU Clusters & Containers: Coursera
  • Efficient Programming: University of Colorado Boulder
  • AI Infrastructure: Introduction to AI Hypercomputer: Google Cloud
  • Applied Mathematical Methods for Computing: University of London
  • Build High-Performing Teams: Harvard Business Review

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 High Performance Computing

High performance computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems at high speeds. It is crucial in various fields, including scientific research, engineering, and data analysis, as it enables researchers and organizations to process vast amounts of data quickly and efficiently. HPC plays a vital role in simulations, modeling, and data-intensive tasks, helping to drive innovation and discovery across disciplines.‎

Careers in high performance computing are diverse and can include roles such as HPC system administrator, computational scientist, data analyst, and software engineer specializing in parallel computing. These positions are found in sectors like academia, government research labs, and private industry, where professionals leverage HPC to tackle complex problems, optimize performance, and enhance data processing capabilities.‎

To succeed in high performance computing, you should develop a strong foundation in programming languages such as C, C++, and Python. Familiarity with parallel computing frameworks like MPI (Message Passing Interface) and OpenMP is also essential. Additionally, understanding computer architecture, algorithms, and data structures will enhance your ability to optimize performance and solve computational challenges effectively.‎

Some of the best online courses for high performance computing include the Introduction to High-Performance and Parallel Computing course, which provides a solid foundation in HPC concepts. For those looking to deepen their knowledge, the High-Performance and Parallel Computing Specialization offers a comprehensive curriculum that covers advanced topics and practical applications.‎

Yes. You can start learning high performance computing on Coursera for free in two ways:

  1. Preview the first module of many high performance computing 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 high performance computing, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn high performance computing, start by enrolling in introductory courses that cover the basics of parallel computing and programming. Engage in hands-on projects to apply your knowledge practically. Joining online communities or forums can also provide support and resources as you progress in your learning journey.‎

Typical topics covered in high performance computing courses include parallel algorithms, performance optimization techniques, distributed computing, and the architecture of supercomputers. Courses may also explore specific applications of HPC in fields like scientific computing, big data analytics, and machine learning.‎

For training and upskilling employees in high performance computing, courses like the High-Performance and Parallel Computing Specialization are excellent choices. They provide structured learning paths that can help teams enhance their computational capabilities and improve overall performance in data-intensive tasks.‎

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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