Next generation garbage collection: discovery, design, and development

下一代垃圾收集：发现、设计和开发

• 批准号: DP190103367
• 负责人: Prof Stephen Blackburn
• 金额: $ 30.94万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190103367
• 关键词: Next; generation; garbage; collection; discovery

This project aims to improve the performance of programming languages used by millions of Australians every day, such as Java, JavaScript and PHP by developing improved memory-management algorithms. These languages use what is referred to as “garbage collection” to ensure memory is managed without data loss, but do so conservatively and consequently cause performance challenges and energy overheads. This project expects to provide these languages with improved memory-management algorithms, and provides researchers and industry with a framework for innovation. This project will enable safe software that is more efficient on today's hardware and able to exploit emerging hardware. This project should lead to better performance and energy savings for server applications, phones, watches, and smart appliances, while ensuring memory safety.

该项目旨在通过开发改进的内存管理算法来提高数百万澳大利亚人每天使用的编程语言的性能，如Java、JavaScript和PHP。这些语言使用所谓的“垃圾收集”来确保内存在没有数据丢失的情况下进行管理，但这样做是保守的，因此会导致性能挑战和能源开销。该项目希望为这些语言提供改进的内存管理算法，并为研究人员和行业提供创新框架。该项目将使安全软件在当今的硬件上更有效，并能够利用新兴的硬件。该项目将为服务器应用程序、手机、手表和智能电器带来更好的性能和节能，同时确保内存安全。