Experimental Software Systems: Performance Impact of Contemporary Programming Paradigms and Workloads

9807112Lizy K. JohnCraig M. chase德克萨斯大学奥斯汀分校实验软件系统：当代编程范式和工作负载对性能的影响这个项目的主要目标是描述几种当代编程范式，包括面向对象计算和网络计算。这项研究调查了为什么当代程序（用c++、Java等开发）往往比传统开发的程序（如Fortran和C）运行得慢。例如，当同一个应用程序以面向对象的方式编写并以传统的过程式风格构造时，已知面向对象的版本会消耗更多内存，表现出更差的缓存行为，并且具有更不可预测的分支行为。本研究试图分离这些影响，并将其追溯到面向对象编程风格的特定元素。这项研究的主要好处是收集了有关将来如何设计微处理器的知识。微处理器的设计决策和工程权衡通常基于对这些处理器将执行的程序类型的假设。然而，详细和准确的程序特性，例如在这个项目中，允许处理器设计人员做出明智和明智的工程决策。

9807112Lizy K. JohnCraig M. ChaseThe University of Texas at AustinExperimental Software Systems: Performance Impact of Contemporary Programming Paradigms and WorkloadsThe primary objective of this project is to characterize several contemporary programming paradigms, including object-oriented computing and networked computing. This study investigates why contemporary programs (developed in C++, Java, etc.) tend to run slower than traditionally developed (e.g., Fortran and C) programs. For example, when the same application is written in an object-oriented fashion and also constructed in a traditional procedural style, the object-oriented version is known to consume more memory, exhibit worse cache behavior, and to have less predictable branch behavior. This research attempts to isolate these effects and trace them to specific elements of the object oriented programming style. The principal benefit of this study is the collection of knowledge concerning how microprocessors should be designed in the future. Design decisions and engineering tradeoffs in microprocessors are often based on assumptions made about the types of programs that these processors will execute. However, detailed and accurate program characterization, such as those in this project, allows processor designers to make intelligent and informed engineering decisions.