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In practice, Clang is a drop-in replacement for GCC. [24] Clang's developers aim to reduce memory footprint and increase compiling speed compared to other compilers, such as GCC. In October 2007, they report that Clang compiled the Carbon libraries more than twice as fast as GCC, while using about one-sixth GCC's memory and disk space. [25]
The one that has received the most attention is Clang, a newer compiler supporting C, C++, and Objective-C. Primarily supported by Apple, Clang is aimed at replacing the C/Objective-C compiler in the GCC system with a system that is more easily integrated with integrated development environments (IDEs) and has wider support for multithreading.
A test compared different C compilers by using them to compile the GNU C Compiler (GCC) itself, and then using the resulting compilers to compile GCC again. Compared to GCC 3.4.2, a TCC modified to compile GCC was able to compile the compiler ten times faster, but the resulting .exe it produced was 57% larger, and much slower, taking 2.2 times ...
C is often used in low-level systems programming where escapes from the type system may be necessary. The compiler attempts to ensure type correctness of most expressions, but the programmer can override the checks in various ways, either by using a type cast to explicitly convert a value from one type to another, or by using pointers or unions ...
However, GCC's nested functions, unlike blocks, must not be called after the containing scope has exited, as that would result in undefined behavior. GCC-style nested functions currently use dynamic creation of executable thunks on most architectures when taking the address of the nested function. On most architectures (including X86), these ...
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. GCC is also available for many embedded systems, including ARM-based and Power ISA-based chips.
Whole program optimization (WPO) is the compiler optimization of a program using information about all the modules in the program. Normally, optimizations are performed on a per module, "compiland", basis; but this approach, while easier to write and test and less demanding of resources during the compilation itself, does not allow certainty about the safety of a number of optimizations such ...
System cost or reliability may be more important than the code speed. For example, compilers for embedded software usually offer options that reduce code size at the expense of speed. The code's timing may need to be predictable, rather than as fast as possible, so code caching might be disabled, along with compiler optimizations that require it.