High Performance Scientific Computing with C 1.1: The Course Overview
Interactive Video
•
Information Technology (IT), Architecture, Other
•
University
•
Practice Problem
•
Hard
Wayground Content
FREE Resource
Benjamin Keller, an astrophysicist and Humboldt Fellow, introduces a course on using computers to solve mathematical problems in science and engineering. The course covers numerical methods, code optimization, and leveraging modern hardware for performance. Students will learn to write fast code, optimize algorithms, and use parallel computing. Prerequisites include basic math, familiarity with C or similar languages, and command line experience.
Read more
2 questions
Show all answers
1.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the course plan to address optimizing code for performance?
Evaluate responses using AI:
OFF
2.
OPEN ENDED QUESTION
3 mins • 1 pt
What programming languages and environments should students be familiar with before taking this course?
Evaluate responses using AI:
OFF
Access all questions and much more by creating a free account
Create resources
Host any resource
Get auto-graded reports
Continue with Google
Continue with Email
Continue with Classlink
Continue with Clever
or continue with
Microsoft
%20(1).png)
Apple
Others
Already have an account?
