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For conventional binary computers, machine code is the binary representation of a computer program which is actually read and interpreted by the computer. A program in machine code consists of a sequence of machine instructions (possibly interspersed with data).
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] The ILOC intermediate language [7] is used in classes on compiler design as a simple target language. [8]
The minimum information contained in a symbol table used by a translator and intermediate representation (IR) includes the symbol's name and its location or address. For a compiler targeting a platform with a concept of relocatability, it will also contain relocatability attributes (absolute, relocatable, etc.) and needed relocation information for relocatable symbols.
In computing, code generation is part of the process chain of a compiler, in which an intermediate representation of source code is converted into a form (e.g., machine code) that can be readily executed by the target system. Sophisticated compilers typically perform multiple passes over various intermediate forms.
Compilers may also use long double for the IEEE 754 quadruple-precision binary floating-point format (binary128). This is the case on HP-UX , [ 4 ] Solaris / SPARC , [ 5 ] MIPS with the 64-bit or n32 ABI , [ 6 ] 64-bit ARM (AArch64) [ 7 ] (on operating systems using the standard AAPCS calling conventions, such as Linux), and z/OS with FLOAT ...
On x86 and x86-64, the most common C/C++ compilers implement long double as either 80-bit extended precision (e.g. the GNU C Compiler gcc [13] and the Intel C++ Compiler with a /Qlong‑double switch [14]) or simply as being synonymous with double precision (e.g. Microsoft Visual C++ [15]), rather than as quadruple precision.
A binary recompiler is a compiler that takes executable binary files as input, analyzes their structure, applies transformations and optimizations, and outputs new optimized executable binaries. [ 1 ]
MLIR (Multi-Level Intermediate Representation) is a unifying software framework for compiler development. [1] MLIR can make optimal use of a variety of computing platforms such as central processing units (CPUs), graphics processing units (GPUs), data processing units (DPUs), Tensor Processing Units (TPUs), field-programmable gate arrays (FPGAs), artificial intelligence (AI) application ...