An Introduction to Building High Performance Computing

Stanford Continuing Studies

Stanford Continuing Studies

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About the course

High performance computing (HPC) is a field at the forefront of a range of high tech applications such as computational fluid dynamics, image processing, and financial risk management. With the demands of machine learning outstripping conventional computing, HPC is also at the forefront of artificial intelligence. This course will discuss how HPC clusters are used in large-scale problems in academia and industry alike. Students will learn about HPC clusters from the ground up and gain a solid foundation in parallel computer architectures, cluster operating systems, and resource management. They will build their own systems via remote installation of physical hardware, configuration and optimization of a high-speed network, and integration of other technologies used throughout the HPC world. Each class will be held in a live, virtual format where discussion and collaboration will be key components of the course. Students will come away with a solid skill set in a field of computing that has broad implications for science and technology.

Experts

Steve Jones

Areas of Expertise Asset Valuation, Corporate Finance, Financial Markets, Investment Management Academic Degrees PhD, Purdue University, 1988 MS, Georgia Tech, 1980 BS, Purdue University, 1979 Professional Experience Assistant Professor of Finance, University of Houston, 1995-96 Assistant Prof...

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An Introduction to Building High Performance Computing at Stanford Continuing Studies

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

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