Parallel Computing

18.337J · Electrical Engineering and Computer Science, Mathematics · Graduate · Fall 2011

Prof. Alan Edelman

MIT · Tier 1

This is an advanced interdisciplinary introduction to applied parallel computing on modern supercomputers. It has a hands-on emphasis on understanding the realities and myths of what is possible on the world’s fastest machines. We will make prominent use of the Julia Language, a free, open-source, high-performance dynamic programming language for technical computing.

EngineeringSoftware Design and EngineeringAlgorithms and Data StructuresMathematicsComputer ScienceData Science, Analytics & Computer Technology

The syllabus, on MIT OpenCourseWare

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Attribution

Prof. Alan Edelman. 18.337J Parallel Computing. Fall 2011. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.

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