Postdoc: Multiprocessor Garbage Collection: A Post-Doctoral Associateship in Computer-Communications Research

9972097莫斯·J·艾略特·B·马萨诸塞大学阿默斯特分校：多处理器垃圾收集：计算机通信研究的博士后研究Java编程语言将垃圾收集(GC，自动存储管理)作为一项重要的编程语言功能引入主流。商业利益开始用Java构建重要的服务器应用程序，在多处理器上运行它们。然而，人们对如何为多处理器平台构建和调优高效的垃圾收集器知之甚少。该项目在垃圾收集和面向对象编程语言的实现领域成功构建了有用的实验原型并利用它们来产生定量和定性的结果。具体地说，该项目扩展了先前设计的GC算法、GC工具包软件、持久对象存储和Java虚拟机实现，以支持多处理器和集群(包括共享和分布式内存)上的Java GC，并探索如何在空间、时间和最小GC中断方面获得良好的GC性能。研究结果可能会对商业Java虚拟机供应商和服务器应用程序构建者提供帮助。博士后助理在所有项目活动中都被赋予重要责任，但在旨在支持和成熟助理成为高技能独立研究员以供未来在行业或学术界就业的密切指导关系的背景下。

9972097 Moss, J. Eliot B. University of Massachusetts at AmherstPostdoc: Multiprocessor Garbage Collection: A Post-Doctoral Associateship inComputer-Communications Research The Java programming language has brought garbage collection (gc, automatic storage management) into the main stream as an important programming language feature. Commercial interests are starting to build significant server applications in Java, running them on multiprocessors. Yet very little is known about how to build and tune efficient garbage collectors for multiprocessor platforms. The project builds on successes in building useful experimental prototypes and exploiting them to produce quantitative and qualitative results in the areas of garbage collection and the implementation of object-oriented programming languages.Specifically, the project extends previously devised gc algorithms, gc toolkit software, a persistent object store, and a Java virtual machine implementation, to support Java gc (of both main memory and persistent objects) on multiprocessors and clusters (both shared and distributedmemory), and explores how to achieve good gc performance in terms of space, time, and minimal gc interruption. The research results could be of assistance to commercial Java virtual machine vendors and server application builders.The post-doctoral associate is given significant responsibility in all project activities, but in the context of a close mentoring relationship designed to support and mature the associate into a highly skilled independent researcher for future employment in industry or academe.