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Lecture 10 #22

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asantucci opened this issue Jul 26, 2019 · 1 comment
Open

Lecture 10 #22

asantucci opened this issue Jul 26, 2019 · 1 comment

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@asantucci
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Make mention of SIMD - single instruction multiple data, and its relation to numpy operations. GPU's excel at SIMD, but CPU's are still capable of executing instructions in parallel. Other common numpy (vectorized) operations include np.log, np.abs, np.maximum
@asantucci
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Add resource:
https://web.stanford.edu/class/cs106b/lectures/02-cpp/slides

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