6.338[J] Parallel Computing

Class Info

Interdisciplinary introduction to computing with Julia. Covers scientific computing and data analysis problems. Combines knowledge from computer science and computational science illustrating Julia's new approach to scientific computing. Sample scientific computing topics include dense and sparse linear algebra, Fourier transforms, data handling, and N-body problems. Provides direct experience with programming traditional-style supercomputing as well as working with modern cloud computing stacks.

This class has 18.06, 18.700, and 18.701 as prerequisites.

6.338[J] will not be offered this semester. It will be instructed by A. Edelman.

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information at the 18.337/6.338 Parallel Computing - Fall 2015 site.

MIT 6.338[J] Parallel Computing Related Textbooks
MIT 6.338[J] Parallel Computing On The Web

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