Essentials-of-Compilation
futhark
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22 | 52 | |
1,217 | 2,299 | |
3.7% | 1.8% | |
6.2 | 9.8 | |
about 1 month ago | 1 day ago | |
TeX | Haskell | |
- | ISC License |
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Essentials-of-Compilation
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Request for comments on my toy lisp implementation.
if you like compilers you should this book out https://github.com/IUCompilerCourse/Essentials-of-Compilation.
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You and me Anon, you and me
Essentials of compilation by Dr. Siek. There’s a GitHub repo. Just navigate to the releases and you will find a pdf https://github.com/IUCompilerCourse/Essentials-of-Compilation/releases/tag/python-MIT-press. This book is really good and it’s practical. There’s a lot of code and it guides you along the way. So it’s a great book to self study. To supplement this you can buy Engineering a Compiler by cooper. This is more comprehensive but there’s no code in this book, only pseudo code. Start with essentials of compilation my friend. It will teach you everything you need.
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The dragon compiler book (2nd edition) is a great book
You can try this book if you want something that came out this year https://github.com/IUCompilerCourse/Essentials-of-Compilatio.... Go to the releases to either get the racket version or python version. But I mean cmu uses the dragon book second edition for a graduate level compiler optimization class.
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Why Learn Compilers
This paper is my favorite introduction to compilers, it's short and hands-on: http://scheme2006.cs.uchicago.edu/11-ghuloum.pdf
There is a book-length expansion of this paper that goes into more detail: https://github.com/IUCompilerCourse/Essentials-of-Compilatio...
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Can we create a thread for some of the best materials on CS available online?
Introduction to Computing"
https://dcic-world.org/
# Programming Language Theory:
"Programming Languages: Application and Interpretation"
https://www.plai.org/
# Compilation:
"Essentials of Compilation: An Incremental Approach in Python"
https://github.com/IUCompilerCourse/Essentials-of-Compilatio...
# Database Systems:
"CMU: Intro to Database Systems"
https://15445.courses.cs.cmu.edu/
"CMU: Advanced Database Systems"
https://15721.courses.cs.cmu.edu/
# Calculus I/II & Real Analysis
"A Course in Calculus and Real Analysis"
https://link.springer.com/book/10.1007/978-3-030-01400-1
"A Course in Multivariable Calculus and Analysis"
https://link.springer.com/book/10.1007/978-1-4419-1621-1
# Linear Algebra & ML:
* A Series of books by prof. Joe Suzuki without using any external library for the implementations *
"Statistical Learning with Math and Python"
https://link.springer.com/book/10.1007/978-981-15-7877-9
"Sparse Estimation with Math and Python"
https://link.springer.com/book/10.1007/978-981-16-1438-5
"Kernel Methods for Machine Learning with Math and Python"
https://link.springer.com/book/10.1007/978-981-19-0401-1
# Discrete Mathematics:
"CMU 21-228 Discrete Mathematics (prof. Poh-Shen Loh"
https://www.math.cmu.edu/~ploh/2021-228.shtml
# Cryptography:
"Serious Cryptography: A Practical Introduction to Modern Encryption"
https://nostarch.com/seriouscrypto
# Problem Solving:
"Math 235: Mathematical Problem Solving"
https://www.cip.ifi.lmu.de/~grinberg/t/20f/
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A Normal Form transformation of syntax tree
This compiler book explains monadic normal form which it’s anf but not 100 percent because of the difference in how let expressions are represented. https://github.com/IUCompilerCourse/Essentials-of-Compilation
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As a self taught developer how should I go about getting a job?
I learned to write compilers by reading "Essentials of Compilation." You can find a free pdf in the book's repo https://github.com/IUCompilerCourse/Essentials-of-Compilation/releases/tag/python-MIT-press. The book is published my MIT Press although right now the racket version is out. the python version is coming out soon. the link that I just shared is for the python version. This is a great book . I recommend it
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Hey guys, have any of you tried creating your own language using Python? I'm interested in giving it a shot and was wondering if anyone has any tips or resources to recommend. Thanks in advance!
One of the best (free/open source) books for learning how to write a compiler is Essentials of Compilation. It comes in two flavors: Racket and Python. I'm less familiar with the Python version, but it might be what you're looking for.
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Best book on writing an optimizing compiler (inlining, types, abstract interpretation)?
Not sure about specifics, but maybe https://github.com/IUCompilerCourse/Essentials-of-Compilation is worth a look?
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Why you should take a compiler course
There are pdfs in the releases section: Python - https://github.com/IUCompilerCourse/Essentials-of-Compilation/releases/download/python-MIT-press/book.pdf
futhark
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What downsides exist to Futhark? Seems almost too good to be true?
Why Futhark? (futhark-lang.org)
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GPU Programming: When, Why and How?
There is no on-going work to support Metal apart from the work done by Miles. There's an old issue about it: https://github.com/diku-dk/futhark/issues/853#issuecomment-5...
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Is Parallel Programming Hard, and, If So, What Can You Do About It? v2023.06.11a
Functional programming can be a great way to handle parallel programming in a sane way. See the Futhark language [1], for example, that accepts high-level constructs like map and convert them to the appropriate machine code, either on the CPU or the GPU.
[1] https://futhark-lang.org/
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Is there a programming language that will blow my mind?
Futhark - use a functional language to program the gpu
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Does This Language Exist?
You might want to look into Futhark, although it's mainly designed for writing GPU code.
- Learn WebGPU
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Two-tier programming language
Futhark https://futhark-lang.org/
- Best book on writing an optimizing compiler (inlining, types, abstract interpretation)?
- Functional GPU programming: what are alternatives or generalizations of the idea of "number of cycles must be known at compile time"?
- APL: An Array Oriented Programming Language (2018)
What are some alternatives?
chip8-book - An introduction to Chip-8 emulation using Rust
arrayfire-rust - Rust wrapper for ArrayFire
chip8
dex-lang - Research language for array processing in the Haskell/ML family
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
Halide - a language for fast, portable data-parallel computation
Essentials-of-Compilatio
julia - The Julia Programming Language
linear - Low-dimensional linear algebra primitives for Haskell.
BQN - An APL-like programming language. Self-hosted!
ray-tracing - It's taking me longer than one weekend
kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.