Memory Management Reference

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • datatype99

    Algebraic data types for C99

  • Nice reference but with some strange bits:

    > Algebraic data types are usually represented using a heap. Because of their non-uniformity, algebraic data types are more difficult to scan.

    Using a heap??? We can represent ADTs using stack as well, that's what we usually do in C and Rust.

    Shameless plug: https://github.com/Hirrolot/datatype99 (a library of mine that generates type-safe ADTs for pure C99).

  • neut

    A dependently-typed programming language with static memory management

  • There's also an interesting programming language called Neut [1]:

    > A dependently-typed programming language with compile-time malloc/free determination.

    Also related "ASAP: As Static As Possible memory management" [2].

    I think most of the "innovation" you're talking about is happening in the programming language design field.

    [1] https://github.com/vekatze/neut

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • mps

    The Memory Pool System

  • This post seems related to the authors of MPS (1) that seems to be a general garbage-collector to use with various languages.

    Many GC'd languages really didn't bother with stack-allocating variable-size entities, and regardless of if they did then _precicely_ scanning the stack would be complicated without compiler help.

    If the compiler doesn't leave any info to the GC, then it can't know if it's scanning a pointer or a float and if your GC strategy relies on compacting memory (ie moving objects) then trying to guess between a float or a pointer can become fatal.

    (1) https://github.com/Ravenbrook/mps

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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