Today most languages are front-ends for LLVM IR, but LLVM is very slow and takes a long time to optimize. Many new languages target x86/arm directly with their own weakly optimized backends, and output an LLVM IR for "release builds".
Today most languages are front-ends for LLVM IR, but LLVM is very slow and takes a long time to optimize. Many new languages target x86/arm directly with their own weakly optimized backends, and output an LLVM IR for "release builds".
and, while we're talking about ocaml, ocaml does use ocamllex and ocamlyacc for its own parser
so, while you can certainly do without parser generators, they have very commonly been used for making real-world programming languages. almost every programming language anyone here has ever heard of was first implemented with a parser generator. the main exceptions are probably fortran, cobol, algol, lisps, c, and pascal
I meant to say the idea of a parser generator is a solution to a problem that that real world langs don't really have. When writing a programming language, your issue isnt how much time the parser is going to take to write, or how complex it's going to be. The parser is a relatively trivial part of the problem.
Due to language designers often being taught to develop langauges in this fashion, many have relied on these tools. But the modern view of compliers as "programming langauge UIs" and the focus on DX, i'd argue its actively pathological to use a parser generator.
Much academic work has, til recently, focused on these areas -- whereas today, the bulk of the difficulty is in understanding SSA/LLVM/ARM/Basic Optimizatiosn/etc. details which are "boring, circumstantial" etc. and not really research projects. I was just pointing this out since a lot of people, myself included, go down the EBNF parser-generator rabbit hole and think inventing a langauge is some formal exercise -- when the reality is the opposite: it's standard programming-engineering work.
but no language starts out as a 'real world lang'; every language is initially a toy language, and only becomes a 'real world lang' in the unlikely case that it turns out to be useful. and parser generators are very useful for creating toy languages. that's why virtually every real world lang you've ever used was implemented first using a parser generator, even if the parser you're using for it now is handwritten
having a formally defined grammar is also very helpful for dx features like syntax highlighting and automated refactoring
maybe you're talking about stuff you haven't released?
I will soon likely create a probabilistic programming language and compiler.
But how can you have assurance which grammar it defines, or that it even defines a well-defined grammar?
I’m well aware that some languages don’t bother defining a proper grammar, or define it without having a mechanism to ensure their implementation matches it, but lacking that assurance is exactly the drawback of not using a parser generator.
The f18 compiler’s parser uses parser combinations to construct a backtracking recursive descent parser that builds a parse tree for the whole source file before doing any semantic analysis. This approach allows good error recovery without having to revert any updates to the symbol table.
i assume that by 'parser combinations' you mean parser combinators
what i meant about fortran is that the first fortran compiler didn't use a parser generator
Now-a-days, the difference between "big compiler optimized" and "little compiler not optimized" can be quite dramatic; but, is probably no more than 4x — certainly within range of the distinction between "systems programming language" and "high tuned JITted scripting language". I think most people are perfectly fine with the performance of highly-tuned scripting languages. The result is that all of the overhead of "big compiler" is just ... immaterial; overhead. This is especially true for the case of extremely well-tuned code, where the algorithm and — last resort — assembly, will easily beat out the best optimizer by at least an order-of-magnitude, or more.
Repeating others, today’s compilers are really just “optimizing compilers”, there is no room for toying in production environments.
If you find some time to go through gcc bugzilla you'll find shockingly simple snippets of code that miscompiled (often by optimization passes), with fixes never backported to older versions that production environments like RHEL are using.
I still insist that a production grade compiler can’t leave performance on table. Which is where the current battlefield is.
The techniques employed are very similar
in summary, optimizing compilers for c or pascal or zig or rust or whatever can only be used for code where considerations like compatibility, ease of programming, security, and predictability are more important than performance
probably the vast majority of production code is already in python and javascript, which don't even have reasonable compilers at all
Main post is about a C compiler, post I responded is saying
> When your computer was anemic, and could barely do the tasks required for it
which I could only interpret as a machine that can run a single process at a time, so not really about gpus or what.
Were they? GCC abandoned bison in favour of their own parser relatively recently.
so gcc has literally been using a parser-generator-generated parser for c for more than half its existence, at which point it had already become the most popular c compiler across the unix world and basically the only one used for linux, which had already mostly annihilated the proprietary unix market. it was also imposingly dominant in the embedded space
and i think that kind of development path is fairly typical; getting a parser up and running is easier with a parser generator, but it can be tricky to get it to do strange things when that's what you want (especially with lalr, less so with peg)
Not sure about Jai.