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In some cases, things can actually be faster when you process your data in columns. In particular, this is the case when you're running in a SIMD architecture, such as GPGPU as column oriented processing means the GPU does not need to decode the same instructions for each row or with interpreted/VM-based language that doesn't use JIT recompilation, where the languages' regular looping construct can be much slower than calling functions working on a list that uses compiled code loops. Code in column oriented processing can also sometimes be much more readable when there's little branching.

Lie Ryan
– Lie Ryan

2020-01-20 01:29:51 +00:00
Commented Jan 20, 2020 at 1:29
@LieRyan I'm not sure how that relates to my answer. Can you elaborate?

JimmyJames
– JimmyJames

2020-01-20 14:45:54 +00:00
Commented Jan 20, 2020 at 14:45

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