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Introduction to High-Performance and Parallel Computing
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Introduction to High-Performance and Parallel Computing

Master the fundamentals of HPC systems, parallel programming, and distributed computing for scientific applications.

Course Cost

Free course

Beginner

Skill Level

11 Hours

Self-paced lessons

This comprehensive course introduces the essentials of high-performance and parallel computing for scientists, engineers, and researchers. Students learn to navigate Linux-based HPC environments, understand distributed computing systems, and develop parallel programming skills. The curriculum covers fundamental concepts from basic Linux commands to advanced topics in parallel efficiency and scalability. Participants gain practical experience with job submission, resource management, and performance optimization techniques.

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3.5

16,345 Enrolled

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English

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Provider Logo
olive-leaves-logo

3.5

16,345 Enrolled

olive-leaves-logo

English

What you'll learn

  • Navigate Linux-based HPC environments effectively

  • Understand distributed computing system components

  • Master parallel programming concepts and models

  • Conduct performance analysis and scaling studies

  • Develop skills in HPC job submission and management

Skills you'll gain

SLURM
scripting
speedup
computing
Linux
parallel programming
HPC systems
distributed computing
performance optimization
resource management

This course includes:

121 Minutes PreRecorded video

4 quizzes

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 high-performance and parallel computing fundamentals. Students learn to navigate Linux-based HPC environments and understand the components of distributed computing systems. The curriculum covers essential topics including basic Linux commands, bash scripting, job submission with SLURM, parallel programming models, and performance optimization. Through hands-on assignments and practical exercises, participants learn to assess application scalability, conduct scaling studies, and optimize computational workflows.

High-Performance Computing (HPC) for Non-Computer Scientists

Module 1 · 4 Hours to complete

Nuts and Bolts of HPC

Module 2 · 2 Hours to complete

Basic Parallelism

Module 3 · 3 Hours to complete

Evaluating Parallel Program Performance

Module 4 · 2 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.

Introduction to High-Performance and Parallel Computing

Beginner

Skill Level

11 Hours

Self-paced lessons

Course Cost

Free course

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.