Does GCC use LLVM?
LLVM and the GNU Compiler Collection (GCC) are both compilers. LLVM is a framework to generate object code from any kind of source code. While LLVM and GCC both support a wide variety languages and libraries, they are licensed and developed differently.
What is an LLVM backend?
The backend of LLVM features a target-independent code generator that may create output for several types of target CPUs — including X86, PowerPC, ARM, and SPARC. The backend may also be used to generate code targeted at SPUs of the Cell processor or GPUs to support the execution of compute kernels.
Is LLVM written in C++?
LLVM is a set of compiler and toolchain technologies, which can be used to develop a front end for any programming language and a back end for any instruction set architecture. LLVM is written in C++ and is designed for compile-time, link-time, run-time, and “idle-time” optimization. …
Is Clang better than GCC?
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.
Will LLVM replace GCC?
Clang/LLVM now very much has the potential to replace GCC; it’s just a question of whether MCU makers want to get involved with it.
Is LLVM faster than GCC?
Only when LLVM was compiled with PGO to build 32-bit ARM was it faster at compiling the Linux kernel than GCC. With the upstream Clang compiler building the upstream kernel compiler for x86_64 and AArch64 (and most recently i686), the LLVM developers will be looking more closely at build times moving ahead.
What is LLVM GCC?
The llvm-gcc command is the LLVM C front end. It is a modified version of gcc that compiles C/ObjC programs into native objects, LLVM bitcode or LLVM assembly language, depending upon the options. Being derived from the GNU Compiler Collection, llvm-gcc has many of gcc’s features and accepts most of gcc’s options.
What is LLVM library?
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. The LLVM Core libraries provide a modern source- and target-independent optimizer, along with code generation support for many popular CPUs (as well as some less common ones!)
Is LLVM a VM?
LLVM isn’t a virtual machine. LLVM is not a virtual machine. It’s a compiler infrastructure.
Why is LLVM so popular?
Each library supports a particular component in a typical compiler pipeline (lexing, parsing, optimizations of a particular type, machine code generation for a particular architecture, etc.). What makes it so popular is that its modular design allows its functionality to be adapted and reused very easily.
Which GCC version do I need to use LLVM?
It requires LLVM-3.2 and gcc-4.5 , gcc-4.6 or gcc-4.7 (gcc-4.7 is only partially supported). The 3.2 release has the following notable changes: Able to load LLVM plugins such as Polly. Supports thread-local storage models. Passes knowledge of variable lifetimes to the LLVM optimizers. No longer requires GCC to be built with LTO support.
What is DragonEgg-using LLVM?
DragonEgg – Using LLVM as a GCC backend. DragonEgg is a gcc plugin that replaces GCC’s optimizers and code generators with those from the LLVM project. It works with gcc-4.5 or newer, can target the x86-32/x86-64 and ARM processor families, and has been successfully used on the Darwin, FreeBSD, KFreeBSD, Linux and OpenBSD platforms.
What is the difference between frontend and backend LLVM?
A good summary of LLVM is this: At the frontend you have Perl, and many other high level languages. At the backend, you have the natives code that run directly on the machine.
What is the use of LLVM?
LLVM can be used as a compiler framework, where you provide the “front end” (parser and lexer) and the “back end” (code that converts LLVM’s representation to actual machine code). LLVM can also act as a JIT compiler – it has support for x86/x86_64 and PPC/PPC64 assembly generation with fast code optimizations aimed for compilation speed.