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So, basically, does this rule out Common Lisp for performance critical applications like numerical computation and ML?
by ducktective 3y ago
So, basically, does this rule out Common Lisp for performance critical applications like numerical computation and ML?
- foldr 3y agoI wouldn't go that far, personally. It's convenient to be able to have unboxed arrays of arbitrary non-primitive datatypes, but you can work around it.
- medo-bear 3y agogiven that i use common lisp for numerical computations including ml, i hope not :) given just that python reigns supreme in this field, clear answer is no. however it is worth keeping in mimd that common lisp is a high level language with very good low level features. you can for example use c data structures seamlessly if you need fine grained memory control you, or write inline assembly