Academic Journal

编译过程中高级语言到机器语言的指令转换优化策略.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: 编译过程中高级语言到机器语言的指令转换优化策略. (Chinese)
Συγγραφείς: 姚拓中, 郭 辉
Πηγή: Electronic Communication & Computer Science; 2026, Vol. 8 Issue 5, p212-214, 3p
Θεματικοί όροι: Programming languages, Compilers (Computer programs), Mathematical optimization
Abstract (Chinese): 编译过程中高级语言到机器语言的指令转换优化, 核心是通过实操性技术手段缩减冗余、提升适配性, 实现输出代码高效轻量化。本文聚焦指令转换全流程实操优化, 分析各策略实操要点与应用边界, 解决转换中冗余、 低效、适配不足等问题, 为编译优化工程化实现提供可落地技术参考。 [ABSTRACT FROM AUTHOR]
Copyright of Electronic Communication & Computer Science is the property of Omniscient Pte. Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: 编译过程中高级语言到机器语言的指令转换优化策略. (Chinese)
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  Data: Electronic Communication & Computer Science; 2026, Vol. 8 Issue 5, p212-214, 3p
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  Data: <searchLink fieldCode="DE" term="%22Programming+languages%22">Programming languages</searchLink><br /><searchLink fieldCode="DE" term="%22Compilers+%28Computer+programs%29%22">Compilers (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
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  Data: 编译过程中高级语言到机器语言的指令转换优化, 核心是通过实操性技术手段缩减冗余、提升适配性, 实现输出代码高效轻量化。本文聚焦指令转换全流程实操优化, 分析各策略实操要点与应用边界, 解决转换中冗余、 低效、适配不足等问题, 为编译优化工程化实现提供可落地技术参考。 [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Electronic Communication & Computer Science is the property of Omniscient Pte. Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: Chinese
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              Text: 2026
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