This course introduces the fundamentals of high-performance and parallel computing. It is targeted to scientists, engineers, scholars, really everyone seeking to develop the software skills necessary for work in parallel software environments. These skills include big-data analysis, machine learning, parallel programming, and optimization. We will cover the basics of Linux environments and bash scripting all the way to high throughput computing and parallelizing code. We recommend you are familiar with either Fortran 90, C++, or Python to complete some of the programming assignments.
Introduction to High-Performance and Parallel Computing
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Introduction to High-Performance and Parallel Computing
Instructors: Shelley Knuth
16,110 already enrolled
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Gain insight into a topic and learn the fundamentals.
3.5
(118 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 14 hours
Learn at your own pace
Build toward a degree
What you'll learn
Navigate a typical Linux-based HPC environment
Describe the components of a high-performance distributed computing system
Assess the differences between serial and parallel programming
Estimate speedup and efficiency by generating a scaling study
Skills you'll gain
Details to know
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Assessments
4 quizzes
Taught in English
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There are 4 modules in this course
Get to know the basics of an HPC system. Users will learn how to work with common high performance computing systems they may encounter in future efforts. This includes navigating filesystems, working with a typical HPC operating system (Linux), and some of the basic concepts of HPC. We will also provide users some key information that is specific to the logistics of this course.
What's included
9 videos3 readings1 quiz2 programming assignments2 discussion prompts
During this week we will actually begin to use HPC infrastructure. Some concepts we will learn are - how to load software appropriately onto an HPC system, what the different types of nodes a user can expect to encounter on a system, and how to submit a job to conduct work, such as perform calculations.
What's included
6 videos1 quiz2 programming assignments
In this module, we will introduce users to the nuances of memory on a high performance computing system. We will also cover some ways to conduct work on a system most efficiently. We will also introduce some beginning components of parallel programming.
What's included
6 videos1 quiz1 programming assignment
In this module, we will continue to review topics related to using a high performance computing system most efficiently, including scaling your workflow measuring how efficient your work on a system is, and how to utilize as much of the computing resource as possible.
What's included
4 videos1 reading1 quiz2 programming assignments
Instructors
Instructor ratings
4.2 (45 ratings)Offered by
Recommended if you're interested in Software Development
Duke University
Ball State University
University of Colorado Boulder
University of California, Irvine
Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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