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.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
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Syllabus
Syllabus - What you will learn from this course
Week 1
High-Performance Computing (HPC) for Non-Computer Scientists
Week 2
Nuts and Bolts of HPC
Week 3
Basic Parallelism
Week 4
Evaluating Parallel Program Performance
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
A very good and interesting HPC introduction course!
The 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.
