High Performance Scientific Computing with C 1.1: The Course Overview

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.

How does the course plan to address optimizing code for performance?

What programming languages and environments should students be familiar with before taking this course?