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A diagram depicting an optimizing compiler removing a potentially useless call to assembly instruction "b" by sinking it to its point of use. Code Sinking, also known as lazy code motion, is a term for a technique that reduces wasted instructions by moving instructions to branches in which they are used: [1] If an operation is executed before a branch, and only one of the branch paths use the ...
Suppose that for a desired motion, "walk," there exist two example motions that convey different moods (e.g., happy and sad). A happy walking motion may be characterized by a simulated figure's posture being upright and its gait being energetic and fast-paced. A sad walking motion may be characterized by a slouched posture and a slow gait. [1]
Watcom C/C++ was a commercial product until it was discontinued, then released under the Sybase Open Watcom Public License as Open Watcom C/C++. It features tools for developing and debugging code for DOS , OS/2 , Windows , and Linux operating systems , which are based upon 16-bit x86 , 32-bit IA-32 , or 64-bit x86-64 compatible processors.
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.
Although the calculation x = y + z and x * x is loop-invariant, precautions must be taken before moving the code outside the loop. It is possible that the loop condition is false (for example, if n holds a negative value), and in such case, the loop body should not be executed at all.
The compiler is based upon the Edison Design Group C++ frontend, also utilized in the Intel C++ Compiler. Rather than produce an executable directly, Comeau C/C++ outputs C code and requires a separate C compiler in order to produce the final program. The Comeau C/C++ can employ several back ends. [1] [5]
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 ...
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