Programming Languages

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This is the current Lemmy equivalent of https://www.reddit.com/r/ProgrammingLanguages/.

The content and rules are the same here as they are over there. Taken directly from the /r/ProgrammingLanguages overview:

This community is dedicated to the theory, design and implementation of programming languages.

Be nice to each other. Flame wars and rants are not welcomed. Please also put some effort into your post.

This isn't the right place to ask questions such as "What language should I use for X", "what language should I learn", and "what's your favorite language". Such questions should be posted in /c/learn_programming or /c/programming.

This is the right place for posts like the following:

"Check out this new language I've been working on!"
"Here's a blog post on how I implemented static type checking into this compiler"
"I want to write a compiler, where do I start?"
"How does the Java compiler work? How does it handle forward declarations/imports/targeting multiple platforms/?"
"How should I test my compiler? How are other compilers and interpreters like gcc, Java, and python tested?"
"What are the pros/cons of ?"
"Compare and contrast vs. "
"Confused about the semantics of this language"
"Proceedings from PLDI / OOPSLA / ICFP / "

See /r/ProgrammingLanguages for specific examples

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armchair_progamer@programming.dev

MegaLibm: A DSL for Implementing Math Functions (blog.sigplan.org)

submitted 3 months ago by armchair_progamer@programming.dev to c/programming_languages@programming.dev

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Full Paper

Excerpt:

Typically, math library functions are written in a low-level language like C or raw assembler to maximize performance. But general purpose languages (like these) don't help developers avoid semantic errors in mathematical code.

How many times has this happened to you: you're writing some math computation, and you accidentally write a plus sign instead of a minus sign, or put in the wrong constant? Your programming language can't catch these bugs for you because its types, like float and double, don't distinguish between x and -x or between different constants.

But numerical code could really benefit from compiler assistance with precisely this task, especially since we expect the user to test out several different implementations of some mathematical expression and compare them for accuracy and performance. Numerical errors really throw a wrench in that process (through misleading performance or accuracy numbers) and MegaLibm therefore aims to prevent them.

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