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High Performance Scientific Computing with C 1.1: The Course Overview
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Information Technology (IT), Architecture, Other
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University
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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.
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