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by geocar
3194 days ago
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> Because I'm pretty sure you can't write a fast numeric code without the knowledge of which type you will get on input. That's why fortran still rocks and we do nat have anything beyond fortran, c and c++ in the field of computation. You're not far off. The first trick is that even though `x` can have any type, `x[4]` and `x[5]` must have the same type. This kind of array whilst uncommon in Python is extremely common in array languages. Array languages tend to have a lot of vector operators (and so therefore are very competitive users of the AVS512 instruction set) which tend to be very fast. Programmers of array languages also tend to avoid things like loops and branches -- indeed you might enjoy http://nsl.com/ if you want to expand your mind a bit on that point. The second trick is that an interpreter can be made very small. If you can get your entire program and the interpreter into L1 then you do not stall the CPU while your program fetches various parts of itself from memory. This is a trick languages like Fortran and C and C++ don't miss per-se, a very experienced programmer can usually identify the hotspots and optimise the hotpath for these things, but it is very time consuming to do this when your entire program is the hotpath! |
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