Adaptive, Profile-Based Compilation of Highly Interactive, Graphical Applications by Demonstration

通过演示对高度交互的图形应用程序进行自适应、基于配置文件的编译

• 批准号: 9633624
• 负责人: Bradley Vander Zanden
• 金额: $ 17.37万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-08-01 至 1999-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9633624&HistoricalAwards=false
• 关键词: Adaptive; Profile; Based; Compilation; Highly

Rapid prototyping environments provide high-level operations that allow users rapidly to create and modify interactive applications, such as graphical interfaces, scientific and program visualizations, and simulations (i.e., quickly program the Obig pictureO). These environments often sacrifice speed and storage for increased flexibility. Researchers have proposed optimizations that can reduce storage and improve performance. However, the programmer must manually apply these optimizations, which impedes rapid, iterative development of applications. The objective of this project is to develop adaptive, profile-based compilation techniques that automatically apply these optimizations so that the programmer can make use of rapid prototyping techniques while still retaining excellent time and storage performance. Constraints and structured graphics are targeted by this research since studies show that these two techniques facilitate the rapid, iterative development of graphical user interfaces. This project is developing techniques whereby: (1) a profiler monitors operations as they execute and extracts information about constraint evaluation and variable access, and (2) an adaptive compiler uses this information to dynamically implement various performance and storage optimizations. ***

快速原型环境提供高级操作，其允许用户快速地创建和修改交互式应用，诸如图形界面、科学和程序可视化以及仿真（即，快速编程大画面0）。这些环境通常会牺牲速度和存储来提高灵活性。研究人员提出了可以减少存储和提高性能的优化。 然而，程序员必须手动应用这些优化，这阻碍了应用程序的快速迭代开发。 该项目的目标是开发自适应的，基于配置文件的编译技术，自动应用这些优化，使程序员可以利用快速原型技术，同时仍然保持良好的时间和存储性能。约束和结构化图形是本研究的目标，因为研究表明，这两种技术促进了图形用户界面的快速，迭代开发。该项目正在开发技术，从而：（1）分析器在操作执行时监视操作并提取有关约束评估和变量访问的信息，以及（2）自适应编译器使用此信息动态实现各种性能和存储优化。 ***