I was told that clang is a driver that works like gcc to do preprocessing, compilation and linkage work. During the compilation and linkage, as far as I know, it's actually llvm that does the optimization ("-O1", "-O2", "-O3", "-Os", "-flto"
).
But I just cannot understand how llvm is involved.
It seems that compiling source code doesn't even need a static library such as libLLVMCore.a
, instead for debian clang packages depends on another package called libllvm-3.4
(clang version is 3.4), which contains libLLVM-3.4.so(.1)
, does clang use this shared library for optimization?
I've checked clang source code for a while and found that include/clang/Driver/Options.td
contains the related options, but unfortunately I failed to find the source files that include that file, so I'm still not aware of the mechanism.
I hope someone might give me some hints.
The Clang project provides a language front-end and tooling infrastructure for languages in the C language family (C, C++, Objective C/C++, OpenCL, CUDA, and RenderScript) for the LLVM project.
Clang is much faster and uses far less memory than GCC. Clang aims to provide extremely clear and concise diagnostics (error and warning messages), and includes support for expressive diagnostics. GCC's warnings are sometimes acceptable, but are often confusing and it does not support expressive diagnostics.
Like many other compilers design, Clang compiler has three phase: The front end that parses source code, checking it for errors, and builds a language-specific Abstract Syntax Tree (AST) to represent the input code. The optimizer: its goal is to do some optimization on the AST generated by the front end.
Clang compiles only C-like languages, such as C, C++, Objective-C, and Objective-C++.
(TL;DontWannaRead - skip to the end of this answer)
To answer your question properly you first need to understand the difference between a compiler's front-end and back-end (especially the first one).
Clang is a compiler front-end (http://en.wikipedia.org/wiki/Clang) for C, C++, Objective C and Objective C++ languages.
Clang's duty is the following:
i.e. translating from C++ source code (or C, or Objective C, etc..) to LLVM IR, a textual lower-level representation of what should that code do. In order to do this Clang employs a number of sub-modules whose descriptions you could find in any decent compiler construction book: lexer, parser + a semantic analyzer (Sema), etc..
LLVM is a set of libraries whose primary task is the following: suppose we have the LLVM IR representation of the following C++ function
int double_this_number(int num) {
int result = 0;
result = num;
result = result * 2;
return result;
}
the core of the LLVM passes should optimize LLVM IR code:
What to do with the optimized LLVM IR code is entirely up to you: you can translate it to x86_64 executable code or modify it and then spit it out as ARM executable code or GPU executable code. It depends on the goal of your project.
The term "back-end" is often confusing since there are many papers that would define the LLVM libraries a "middle end" in a compiler chain and define the "back end" as the final module which does the code generation (LLVM IR to executable code or something else which no longer needs processing by the compiler). Other sources refer to LLVM as a back end to Clang. Either way, their role is clear and they offer a powerful mechanism: whatever the language you're targeting (C++, C, Objective C, Python, etc..) if you have a front-end which translates it to LLVM IR, you can use the same set of LLVM libraries to optimize it and, as long as you have a back-end for your target architecture, you can generate optimized executable code.
Recalling that LLVM is a set of libraries (not just optimization passes but also data structures, utility modules, diagnostic modules, etc..), Clang also leverages many LLVM libraries during its front-ending process. You can't really tear every LLVM module away from Clang since the latter is built on the former set.
As for the reason why Clang is said to be a "compilation driver": Clang manages interpreting the command line parameters (descriptions and many declarations are TableGen'd and they might require a bit more than a simple grep to swim through the sources), decides which Jobs
and phases are to be executed, set up the CodeGenOptions
according to the desired/possible optimization and transformation levels and invokes the appropriate modules (clangCodeGen
in BackendUtil.cpp
is the one that populates a module pass manager with the optimizations to apply) and tools (e.g. the Windows ld
linker). It steers the compilation process from the very beginning to the end.
Finally I would suggest reading Clang and LLVM documentation, they're pretty explicative and most of your questions should look for an answer there in the first place.
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