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Re:Mill Computing in 2017 by petecox on Thursday January 12, 2017 @07:00PM (#13387298)
> my feeling was that it would be simpler to map functional languages onto it

I found this [1] blog post interesting - that mainstream architectures have defaulted to low level C-machines and that radically new CPU designs might return to the halcyon days of lisp.

[1]http://liam-on-linux.livejournal.com/43040.html

Re:Mill Computing in 2017 by protomikron on Saturday January 14, 2017 @10:57AM (#13398934)
Thx, that was an interesting read.

However I think that Lisp is too powerful to be executed directly on the machine (as I understand Lisp machines provide HW capabilities to deal with cons and list atoms).

I often wonder if we should try to make a non Turing complete language, but that we make "pseudo-turing-complete", by using some kind of bounded-automaton with insane worst-case upper bounds (e.g. about complexity) that we can feed to the OS/machine which then can aggressively schedule as it knows upper timing bounds etc.

Btw. is their good literature about the implementation of intermediate languages as compilation targets for static functional languages? I think the book to go was SPJ's "The Implementation of Functional Programming Languages", but I am not sure how relevant it is today.

Re:Mill Computing in 2017 by kazinator on Sunday January 15, 2017 @05:01AM (#13403309)
To "execute Lisp directly" means to interpret the AST. No hardware machine does that that I know of. It can almost certainly be done, but arguably shouldn't. Interpreting the raw syntax is a bootstrapping technique to which it would seem foolish to commit a full-blown hardware implementation.
Re:Mill Computing in 2017 by lispm on Sunday January 15, 2017 @12:23PM (#13405038)