Generating Machine Code for High-Level Programming Languages

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Description

The purpose of this research was to investigate the generation of machine code from high-level programming language. The following steps were undertaken: 1) Choose a high-level programming language as the source language and a computer as the target computer. 2) Examine all stages during the compiling of a high-level programming language and all data sets involved in the compilation. 3) Discover the mechanism for generating machine code and the mechanism to generate more efficient machine code from the language. 3) Construct an algorithm for generating machine code for the target computer. The results suggest that compiler is best implemented in ... continued below

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vi, 97 leaves: ill.

Creation Information

Chao, Chia-Huei December 1976.

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  • Chao, Chia-Huei

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Description

The purpose of this research was to investigate the generation of machine code from high-level programming language. The following steps were undertaken: 1) Choose a high-level programming language as the source language and a computer as the target computer. 2) Examine all stages during the compiling of a high-level programming language and all data sets involved in the compilation. 3) Discover the mechanism for generating machine code and the mechanism to generate more efficient machine code from the language. 3) Construct an algorithm for generating machine code for the target computer. The results suggest that compiler is best implemented in a high-level programming language, and that SCANNER and PARSER should be independent of target representations, if possible.

Physical Description

vi, 97 leaves: ill.

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UNT Theses and Dissertations

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  • December 1976

Added to The UNT Digital Library

  • May 10, 2015, 6:16 a.m.

Description Last Updated

  • July 1, 2016, 10:16 a.m.

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Citations, Rights, Re-Use

Chao, Chia-Huei. Generating Machine Code for High-Level Programming Languages, thesis, December 1976; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc504012/: accessed December 10, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .