Executable optimizer generation framework
Suqin Zhang
Abstract
Suqin Zhang
Abstract
Present compilers generated by compiler infrastructures give insufficient support of architecture related optimizations. An executable optimizer generation framework (EOGF) was developed, which gives improved code quality for embedded application systems. With compiler infrastructures such as GCC (GNU compiler collection), the EOGF can quickly compose an integrated generation environment for high quality compilers. The EOGF can also improve the final code quality by taking advantage of the special machine characteristics. Experimental results show that the EOGF can flexibly and efficiently generate executable optimizers.
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Present compilers generated by compiler infrastructures give insufficient support of architecture related optimizations. An executable optimizer generation framework (EOGF) was developed, which gives improved code quality for embedded application systems. With compiler infrastructures such as GCC (GNU compiler collection), the EOGF can quickly compose an integrated generation environment for high quality compilers. The EOGF can also improve the final code quality by taking advantage of the special machine characteristics. Experimental results show that the EOGF can flexibly and efficiently generate executable optimizers.
Key concepts: Executable, Compiler, Computer science, Code generation, Programming language, Code (set theory), Operating system, Parallel computing