Experimental Software Systems: Integrated Applications and Systems Research in Software Shared Memory

9806751 Singh，Jaswinder PalLi，KaiPrinceton UniversityExperimental Software Systems：Integrated Applications and Systems Research in Software Shared Memory一致性共享地址空间（SAS）是一种有吸引力的并行计算编程模型。 当在紧密耦合的多处理器上的硬件中实现时，它在商业上是成功的。 随着工作站或对称多处理器的不太紧密耦合的集群成为重要的平台，在集群上的软件中支持这种模型也很重要。 否则，在这两种平台上运行应用程序的需求可能会促使更困难的显式消息传递模型占据主导地位。 本研究开发和评估软件SAS系统集群的各种规模和组织。 该研究的特点是高度应用驱动，包括与应用科学家的合作。 它同时检查协议/系统和应用程序，而不将其视为固定的。 基于真实的应用中遇到的瓶颈，增强了协议和系统，检查了硬件支持的作用，并比较了不同的软件方法。 重点是编程的易用性和性能，并包括在紧密耦合的系统和集群上比较SAS和消息传递模型。 这项研究将产生新的、可扩展的软件SAS系统，更好地整合应用程序和系统研究，这是现在取得重大进展所必需的，并更好地了解跨平台编程模型的权衡。

9806751Singh, Jaswinder PalLi, KaiPrinceton UniversityExperimental Software Systems: Integrated Applications and Systems Research in Software Shared MemoryA coherent shared address space (SAS) is an attractive programming model for parallel computing. It is emerging as commercially successful when implemented in hardware on tightly coupled multiprocessors. With less tightly coupled clusters of workstations or symmetric multiprocessors becoming important platforms, it is important to support this model in software on clusters as well. Otherwise, the need to run applications on both types of platforms may drive the more difficult explicit message passing model to dominate. This research develops and evaluates software SAS systems on clusters of various scales and organizations. The research is distinguished by being highly application-driven, including collaboration with application scientists. It examines protocols/systems and applications simultaneously without treating either as fixed. Protocols and systems are enhanced based on bottlenecks encountered in real applications, the role of hardware support is examined, and different software approaches are compared. The focus is on both programming ease and performance, and includes comparing the SAS and message passing models on tightly-coupled systems and clusters. The research will result in new, scalable software SAS systems, a greater integration of applications and systems research that is now necessary for major advances, and a better understanding of the tradeoffs in programming models across platforms.