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Learner Reviews & Feedback for Introduction to High-Performance and Parallel Computing by University of Colorado Boulder

3.8
stars
164 ratings

About the Course

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. After completing this course, you will familiar with: *The components of a high-performance distributed computing system *Types of parallel programming models and the situations in which they might be used *High-throughput computing *Shared memory parallelism *Distributed memory parallelism *Navigating a typical Linux-based HPC environment *Assessing and analyzing application scalability including weak and strong scaling *Quantifying the processing, data, and cost requirements for a computational project or workflow This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder....

Top reviews

JY

Aug 15, 2022

T​he content is a good start for those who had little programing experience. The assignments drove me creazy. Exploring the discussion forum to see hints for assignments will save you a lot of time.

NK

Feb 5, 2025

Expected more details on Slurm and efficiency optimization

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51 - 56 of 56 Reviews for Introduction to High-Performance and Parallel Computing

By Mauro S

•

Mar 14, 2023

It very clear that this course was a longer one, and a lot of materials was removed.

Now the course is inconsistent a full of gap regarding the ideal concept.

Udacity offer two much better courses.

By Zhihao W

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Oct 1, 2023

The assignment instruction is not easy to read, even the task file and config, upload existing multiple issues. Purely waste my time!

By Kyle S

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Jun 15, 2022

The lectures are great, if a bit basic, depending on your technical experience. The assignemnts however, are broken.

By Vladislav G

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Nov 30, 2023

Too many bugs in the assignments. Spending most time on workarounds around those bugs instead of learning.

By HARSHADA A

•

Sep 19, 2024

this needs a lot efforts for verifying than the coursera course

By Прітченко К Ю

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Nov 18, 2022

Last programming task is broken