> Modern Compiler Implementation by Andrew W. Appel
It comes in three flavors C, ML (Meta Language), and Java
https://www.cs.princeton.edu/~appel/modern/
Writing a compiler in Standard ML is as natural as writing a grammar and denotational semantics.
Compiler writing is becoming an extinct art.
For more modern folks, one can use the ML version as inspiration for doing the book exercises in OCaml, Haskell, F# or Rust.
Writing compilers for a living, and CS research is a niche domain, not something I would consider an extinct art.
Are you sure it’s an extinct art though? LLVM is flourishing, many interesting IRs come to life like MLIR, many ML-adjacent projects build their own compilers (PyTorch, Mojo, tinygrad), many big tech like Intel, AMD, Nvidia, Apple and others contribute to multiple different compilers, projects integrate one to another at different levels of abstraction (PyTorch -> Triton -> CUDA) - there is a lot of compilation going on from one language to another
Not to mention many languages in a mainstream that weren’t that popular 10 years ago - think Rust, Zig, Go
cooking is an art. software is engineering. no one would say "building skyscrapers as an art is dying".
Do you distinguish between writing a compiler and writing an optimizing compiler, and if so, how is writing an optimizing compiler an extinct art?
Equality saturation, domination graphs, chordal register allocation, hardware-software codesign, etc there are many new avenues of research for compilers, and these are just the ones on the top of my head that are relevant to my work. Most optimization work is R&D and much of it is left unimplemented at scale, and things like the phase-ordering problem and IR validation are hard to do in practice, even given ample resources and time.
Ironically, now with modern Java you can that much easier than the approach done in the Java variant back in 1997.