Comments by "Lawrence D’Oliveiro" (@lawrencedoliveiro9104) on "CPU vs GPU (What's the Difference?) - Computerphile" video.

  1. Here’s a key acronym to remember about GPUs: “SIMD”. That‘s “Single-Instruction, Multiple-Data”. It has to do with the fact that a GPU can operate on a hundred or a thousand vertices or pixels at once in parallel, but it has to perform exactly the same calculation on all of them. Whereas a single CPU core can be described as “SISD” -- “Single-Instruction, Single-Data”. With multiple CPU cores, you get “MIMD” -- “Multiple-Instruction, Multiple-Data”, where each instruction sequence can be doing entirely different things to different data. Or in other words, multithreading. So even with all their massive parallelism, GPUs are still effectively single-threaded.
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  2. Yes, but the vectors that your typical present-day CPU operates on are short ones, with something like 4 or 8 elements at most.
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  3.  @gestaltengine6369  How would it work? You’d have to give an example.
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  4.  @gestaltengine6369  But “multiple instruction” means the instructions can be entirely different.
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