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其生成的代码在一系列基准测试中具有比现有编译器更好的性能.
基于该编译系统, 用户能够以串行方式来全局声明式地编程群体智能应用程序, 隐式地规范同步和通信,
因此节点间的数据移动、并行任务管理等复杂细节完全留给编译系统, 这有效降低了群体智能应用程序编程
和调试的难度, 提高了群体智能系统的开发效率. 此外, 本文这种将群体智能应用程序编译为标准化中间表示
进而屏蔽硬件平台异构性的思想方法, 也具备一定的普适性, 对其他领域特定语言的编译开发具有借鉴意义.
在未来, 将在并行循环优化、常量折叠等方面探索该编译系统的代码优化方法, 提高该编译系统生成的目标代
码的执行效率.
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