Compiler Tools and Techniques

编译器工具和技术

• 批准号: 1000231947-2017
• 负责人: Hendren, Laurie
• 金额: $ 14.57万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=653419
• 关键词: Compiler; Tools; Techniques

The need for big data computation is increasing in many fields including science, engineering and business. Further, web browsers are providing increasingly powerful computation engines, and the proliferation of web-connected devices provides huge amounts of idle resources. Thus, an interesting research question is: 'Can the power of web browsers and web-connected devices be used to provide an effective platform for big data computation?'.**The proposed research tackles this question through a novel approach of "array programming in the large" by investigating how array programming languages can provide effective computation for big data through utilizing computing power in web browsers and by integrating array programming and in-memory databases.

包括科学、工程和商业在内的许多领域对大数据计算的需求正在增加。此外，web浏览器正在提供越来越强大的计算引擎，网络连接设备的激增提供了大量的空闲资源。因此，一个有趣的研究问题是：“网络浏览器和网络连接设备的力量能否被用来为大数据计算提供一个有效的平台？”**建议的研究通过一种新颖的“大型数组编程”方法解决了这个问题，通过研究数组编程语言如何通过利用web浏览器中的计算能力以及集成数组编程和内存数据库来为大数据提供有效的计算。