Best book on writing an optimizing compiler (inlining, types, abstract interpretation)?

This page summarizes the projects mentioned and recommended in the original post on /r/ProgrammingLanguages

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  • qbe-rs

    QBE IR in natural Rust data structures

  • cinder

    Cinder is Meta's internal performance-oriented production version of CPython. (by facebookincubator)

    I used to work on the Cinder JIT and can help document any passes you find interesting or confusing.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • Essentials-of-Compilation

    A book about compiling Racket and Python to x86-64 assembly

    Not sure about specifics, but maybe https://github.com/IUCompilerCourse/Essentials-of-Compilation is worth a look?

  • selfie

    An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.

  • Halide

    a language for fast, portable data-parallel computation

  • flang

    Flang is a Fortran language front-end designed for integration with LLVM.

    I think a lot of this material is in research papers and code. Take a look a MLTon or Clang Fortran

  • futhark

    :boom::computer::boom: A data-parallel functional programming language

  • 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.

  • jax

    Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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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