Improving Modern Programming Language Performance: A Memory-Conscious Approach

Java和C#等现代编程语言的性能落后于C和Fortran等命令式语言。 性能差距的一个重要来源是糟糕的内存行为，未来的计算机体系结构将加剧这种情况。 该项目通过集成攻击解决了现代编程语言（如Java和C#）中内存行为差的问题，该攻击结合了新的垃圾收集算法，优化运行程序的运行时技术以及具有静态和动态优化的新编译器分析。 该项目将为澳大利亚提供一个 在具有重大学术和商业重要性的研究领域的国际存在。

The performance of modern programming languages such as Java and C# lags that of imperative languages such as C and Fortran. A significant source of the performance gap is poor memory behavior, which future computer architectures will exacerbate. This project addresses the problem of poor memory behavior in modern programming languages such as Java and C# through an integrated attack that incorporates new garbage collection algorithms, run-time techniques that optimize running programs, and new compiler analyses with both static and dynamic optimizations. The project will give Australia an international presence in a research area of great academic and commercial importance.