exaloop/codon

static compilation option?

Open

#82 opened on Dec 10, 2022

View on GitHubContributor guide
 (8 comments) (9 reactions) (0 assignees)C++ (492 forks)batch import
enhancementhelp wanted

Repository metrics

Stars
 (13,667 stars)
PR merge metrics
 (Avg merge 5d 10h) (3 merged PRs in 30d)

Description

After I successfully compiled a test python program using codon build <demo.py>, on macOS Monterey (intel), I checked the dependencies as per the following:

$ otool -L demo
demo:
	@rpath/libcodonrt.dylib (compatibility version 0.0.0, current version 0.0.0)
	@rpath/libomp.dylib (compatibility version 5.0.0, current version 5.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1319.0.0)
	/usr/lib/libz.1.dylib (compatibility version 1.0.0, current version 1.2.11)

The two @rpath dependencies, libcodonrt.dylib and libomp.dylib are included in the codon distribution, they are 1.2M and 772K respectively so not so large.

Is there any thought to having static libraries of these two dependencies available so one may statically compile the executable instead to make it more relocatable?

Contributor guide

Research direction
Investigate the Codon build system (likely CMake) to understand how the runtime library and OpenMP are linked. Look for existing flags or options for static linking. Consider adding a compiler flag to enable static linking of libcodonrt and libomp, similar to GCC's static libstdc++.
Tech stack
python
Domain
build systemtooling
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
C/C++ build systemslinker concepts
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70