7 Essential Time Management Skills
February 7, 2025
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Instructors: Shelley Knuth
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(123 reviews)
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
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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.
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.
9 videos3 readings1 assignment2 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.
6 videos1 assignment2 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.
6 videos1 assignment1 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.
4 videos1 reading1 assignment2 programming assignments
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
CU Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
University of Colorado Boulder
Build toward a degree
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University of Colorado Boulder
Build toward a degree
Specialization
University of Colorado Boulder
Build toward a degree
Course
University of Colorado Boulder
Build toward a degree
Specialization
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
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
University of Colorado Boulder
Degree · 2 years
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
123 reviews
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Reviewed on Aug 15, 2022
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.
Reviewed on Dec 26, 2023
The course covers the basic expectations mentioned in the course objectives. However, there are minor discrepancies in the assignments and materials that needs to be revised.
Reviewed on Jun 8, 2021
A very good and interesting HPC introduction course!
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