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LLVM can accept the IR from the GNU Compiler Collection (GCC) toolchain, allowing it to be used with a wide array of extant compiler front-ends written for that project. LLVM can also be built with gcc after version 7.5. [37] LLVM can also generate relocatable machine code at compile-time or link-time or even binary machine code at runtime.
The AMD Optimizing C/C++ Compiler (AOCC) is an optimizing C/C++ and Fortran compiler suite from AMD targeting 32-bit and 64-bit Linux platforms. [1] [2] It is a proprietary fork of LLVM + Clang with various additional patches to improve performance for AMD's Zen microarchitecture in Epyc, and Ryzen microprocessors.
However, in LTO as implemented by the GNU Compiler Collection (GCC) and LLVM, the compiler is able to dump its intermediate representation (IR), i.e. GIMPLE bytecode or LLVM bitcode, respectively, so that all the different compilation units that will go to make up a single executable can be optimized as a single module when the link finally ...
The LLVM project originally intended to use GCC's front end. The GCC source code, however, is large and somewhat cumbersome; as one long-time GCC developer put it referring to LLVM, "Trying to make the hippo dance is not really a lot of fun". [18] Besides, Apple software uses Objective-C, which is a low priority for GCC developers.
LLVM targets many platforms, however its main focus is not machine-dependent code generation; instead a more high-level typed assembly-like intermediate representation is used. Nevertheless for the most common targets the LLVM MC (machine code) project provides an assembler both as an integrated component of the compilers and as an external tool.
The OpenMP and OpenACC specifications are also supported in the C and C++ compilers. [8] [9] GCC has been ported to more platforms and instruction set architectures than any other compiler, and is widely deployed as a tool in the development of both free and proprietary software.
This is a severe performance bottleneck on certain applications such as scientific code. Bounds-checking elimination allows the compiler to safely remove bounds checking in many situations where it can determine that the index must fall within valid bounds; for example, if it is a simple loop variable.
Like GCC, LLVM also targets some IRs meant for direct distribution, including Google's PNaCl IR and SPIR. A further development within LLVM is the use of Multi-Level Intermediate Representation with the potential to generate code for different heterogeneous targets, and to combine the outputs of different compilers. [6]