Timeline for Relevance of optimization techniques
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
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| Jan 20, 2020 at 14:45 | comment | added | JimmyJames | @LieRyan I'm not sure how that relates to my answer. Can you elaborate? | |
| Jan 20, 2020 at 1:29 | comment | added | Lie Ryan | 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. | |
| Jan 16, 2020 at 20:05 | history | edited | JimmyJames | CC BY-SA 4.0 |
typo
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| Jan 15, 2020 at 17:50 | history | answered | JimmyJames | CC BY-SA 4.0 |