18.337[J] Parallel Computing
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.
18.337[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.
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