RESEARCH INITIATION AWARD: Investigating A Hybrid Function and Data Shipping Parallel Programming Environment

9308879 Carter本项目的目标是为分布式存储器多处理器开发一个新的编程环境，为数据传输和功能传输提供有效的支持。 编程范例。 这 是 完成 通过将提供透明数据传送的分布式共享存储器（DSM）系统与支持分布式函数传送的远程过程调用（RPC）系统集成。 这种集成 解决最严重的问题 的 两种范式。 DSM使进程能够在仅通过消息传递进行通信的处理器之间共享数据，但是Munin DSM系统的经验表明， 所有通信都通过共享 数据 相反，在传统的RPC系统中，很难传递使用任意指针的复杂数据结构，因为客户端和服务器驻留在不同的地址空间中。 这严重限制了编程模式。支持共享地址空间允许任意复杂的数据结构作为RPC的一部分传递。初步结果表明，数据和功能的结合可以显着提高DSM的性能，提高RPC的可编程性。 该项目还涉及开发简单的性能监控和可视化工具，以简化此类系统的编程任务。 ***

9308879 Carter The objective of this project is to develop a novel programming environment for distributed memory multiprocessors that provides efficient support for both the data shipping and function shipping programming paradigms. This is accomplished by integrating a distributed shared memory (DSM) system, which provides transparent data shipping, with a remote procedure call (RPC) system, which supports distributed function shipping. This integration addresses the most serious problems of both paradigms. DSM enables processes to share data across processors that only communicate via message passing, but experience with the Munin DSM system indicates that it is often inefficient to require all communications to occur through shared data. Conversely, in conventional RPC systems, it is difficult to pass complex data structures that use arbitrary pointers because clients and servers reside within distinct address spaces. This seriously restricts the programming model. Supporting a shared address space allows arbitrarily complex data structures to be passed as part of an RPC,. Preliminary results indicate that the combination of data and function shipping can significantly improve the performance of DSM and improve the programmability of RPC. The project also involves the development of simple performance monitoring and visualization tools to ease the task of programming such a system. ***