ITR: Interactions of Multithreaded Computing and Operating System Design

提案编号：0085670标题：多线程计算和操作系统设计PI的交互：亨利M. Levy和Susan J. Eggers摘要：在未来的十年中，由数百或数千个节点组成的高度可扩展的计算机系统将成为满足新兴全球应用需求的必要条件，如用于互联网商务的Web和数据库服务器。 这些应用程序必须是多线程的，以处理数以千计的并发请求。 对于这种可扩展的服务器领域，一个有前途的技术是使用多线程处理器;例如，Compaq在2002/2003年的时间框架中宣布了对Alpha处理器的同时多线程（SMT）支持。不幸的是，还没有对操作系统的多线程支持或如何为多线程CPU构建操作系统进行研究。 然而，操作系统在这种环境中可能至关重要;例如，测量表明，一个加载的Web服务器可以花费75%的时间在操作系统上。拟议的研究将开发的软件环境，以补充SMT和其他细粒度并行处理器提供的多线程硬件环境。 该研究正好位于体系结构和操作系统之间，研究（1）多线程处理器的设计和性能以支持操作系统的需求，以及（2）根据多线程处理器的功能来构建操作系统。 研究将集中在这些问题的高度并行，请求驱动的工作负载，如Web服务器和数据库服务器的域。

Proposal Number: 0085670Title: Interactions of Multithreaded Computing and Operating System DesignPIs: Henry M. Levy and Susan J. EggersAbstract:Over the next decade, highly scalable computer systems consisting ofhundreds or thousands of nodes will become necessary to meet thedemands of emerging global applications, such as Web and databaseservers used for Internet commerce. These applications must bemultithreaded to handle the thousands of simultaneous requests. Onepromising technology for this scalable server domain is the use ofmultithreaded processors; for example, Compaq has announcedSimultaneous Multithreading (SMT) support for its Alpha processor in the 2002/2003 time frame.Unfortunately, no research has been conducted on multithreadingsupport for operating systems or on how to structure operating systemsfor multithreaded CPUs. Yet the OS may be crucial in this environment;e.g., measurements show that a loaded web server can spend 75% of itstime in the OS. The proposed research will develop the softwareenvironment to complement the multithreaded hardware environmentprovided by SMT and other fine-grained parallel processors. Theresearch sits squarely between architecture and operating systems,examining (1) the design and performance of multithreaded processorsto support OS needs, and (2) the structure of operating systems inlight of the capabilities of multithreaded processors. The researchwill focus on these questions in the domain of highly parallel,request-driven workloads, such as Web servers and database servers.