mpl VS FunctionalPlus

Compare mpl vs FunctionalPlus and see what are their differences.

mpl

The MaPLe compiler for efficient and scalable parallel functional programming (by MPLLang)
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mpl FunctionalPlus
7 10
287 2,001
16.8% -
8.4 7.7
about 2 months ago 14 days ago
Standard ML C++
GNU General Public License v3.0 or later Boost Software License 1.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

mpl

Posts with mentions or reviews of mpl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-30.
  • Garbage Collection for Systems Programmers
    7 projects | news.ycombinator.com | 30 Mar 2024
    I'm one of the authors of this work -- I can explain a little.

    "Provably efficient" means that the language provides worst-case performance guarantees.

    For example in the "Automatic Parallelism Management" paper (https://dl.acm.org/doi/10.1145/3632880), we develop a compiler and run-time system that can execute extremely fine-grained parallel code without losing performance. (Concretely, imagine tiny tasks of around only 10-100 instructions each.)

    The key idea is to make sure that any task which is *too tiny* is executed sequentially instead of in parallel. To make this happen, we use a scheduler that runs in the background during execution. It is the scheduler's job to decide on-the-fly which tasks should be sequentialized and which tasks should be "promoted" into actual threads that can run in parallel. Intuitively, each promotion incurs a cost, but also exposes parallelism.

    In the paper, we present our scheduler and prove a worst-case performance bound. We specifically show that the total overhead of promotion will be at most a small constant factor (e.g., 1% overhead), and also that the theoretical amount of parallelism is unaffected, asymptotically.

    All of this is implemented in MaPLe (https://github.com/mpllang/mpl) and you can go play with it now!

  • MPL: Automatic Management of Parallelism
    1 project | news.ycombinator.com | 28 Mar 2024
  • Good languages for writing compilers in?
    8 projects | /r/ProgrammingLanguages | 11 May 2023
    Maple is a fork of MLton: https://github.com/MPLLang/mpl
  • Comparing Objective Caml and Standard ML
    5 projects | news.ycombinator.com | 15 Feb 2023
    Some of us are still using SML for research and teaching, e.g. https://github.com/mpllang/mpl
  • MaPLe Compiler for Parallel ML v0.3 Release Notes
    1 project | news.ycombinator.com | 26 Jun 2022
  • MPL-v0.3 Release Notes
    1 project | /r/sml | 26 Jun 2022

FunctionalPlus

Posts with mentions or reviews of FunctionalPlus. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-24.

What are some alternatives?

When comparing mpl and FunctionalPlus you can also consider the following projects:

cakeml - CakeML: A Verified Implementation of ML

C++ B-tree - Git mirror of the official (mercurial) repository of cpp-btree

LunarML - The Standard ML compiler that produces Lua/JavaScript

v8pp - Bind C++ functions and classes into V8 JavaScript engine

HPCInfo - Information about many aspects of high-performance computing. Wiki content moved to ~/docs.

dynamic_bitset - Simple Useful Libraries: C++17/20 header-only dynamic bitset

mlton - The MLton repository

Hashmaps - Various open addressing hashmap algorithms in C++

1ml - 1ML prototype interpreter

function2 - Improved and configurable drop-in replacement to std::function that supports move only types, multiple overloads and more

ppci - A compiler for ARM, X86, MSP430, xtensa and more implemented in pure Python

sparsehash - C++ associative containers