On 4/4/20 10:28 PM, James Cooper wrote:
Hi Guile folks,
I am currently experimenting with a handful of languages that include
modern implementations of Concurrent ML, to determine which one appears
best able to handle computationally- and message-heavy workloads (at least
for my purposes, Computer Vision). Guile is one of the languages I am
trying out with the Fibers library.
My question is, how can I best go about creating Linux executables from
Guile, where said programs benefit from the most ahead-of-time compilation
and optimisation possible? I don't believe they strictly need to be
standalone, as the environment I will be running the programs in will
likely be the same as the development environment. So they can undoubtedly
have dependencies on external libraries. Furthermore, I am perfectly happy
with the process being a bit convoluted, as I can easily automate it with a
makefile. I would, however, prefer if at all possible that the option to
target other processor architectures remains available down the line (I
assume using GCC can enable this, but I'm not sure).
[...]
You can't produce a pre-compiled machine code binary of your guile
program. I believe you can use the environment variable
GUILE_JIT_THRESHOLD set to zero to have your code compiled to
machine code on first use.
$ GUILE_JIT_THRESHOLD=0 guile my-program.scm
You can also start execution of your guile program from C using
the techniques described in the section "Programming in C" in the
Guile Reference Manual.
Matt
