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University of Toronto

Toronto, Ontario

1 vote


High-Performance Scientific Computing

Computationally-intensive applications in science and engineering are implemented on the fastest computers available, today composed of many processors operating in parallel. Parallel computer architectures; implementation of numerical algorithms on parallel architectures. Topics from: performance evaluation; scientific visualization; numerical methods; applications from science and engineering. For students in computer science, applied mathematics, science, engineering.

Sounds difficult, but the fact is most of the assignments are Google-able. Looks fancy on the transcript, and is a LOT easier than it sounds, I took it, and it was amazing

Added by Anonymous on 2014-07-19 02:11:25

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