PDS: A Flexible Architecture for Executing Component Software at 100 Teraops

用于100 TeraOps机器的应用软件将基于组件软件（库、gui、问题解决环境）的日益增加的使用和互操作性框架（CORBA、OLE、SOM等）的广泛使用，从而产生由各种程序组成的复杂综合应用程序。为了支持这些应用，机器必须提供可编程接口（即高效的共享地址空间和数据移动）和可扩展的高性能。该项目将研究一种灵活的机器架构，该架构能够识别这些技术现实，不仅支持先进的软件结构，而且利用它们来配置可编程硬件，使其适应应用。编程灵活性可以提供广泛的方便接口，从统一的缓存一致的共享内存，到较小的共享内存系统集群，再到完全分布式的内存。除了一系列接口之外，这种灵活的机器还可以自定义操作和协议，利用适当的机制和策略来最小化系统所有级别的关键性能方面（通信）。这种机器的设计充分利用了对最佳架构机制、可定制缓存一致性的研究成果，以及在过程间分析、可编程硬件和硬件合成技术方面的技术进步，以实现通用的高性能。

Application software for 100 TeraOps machines be based on the increasing use of component software (libraries, GUIs, problem solving environments) and extensive use of interoperability frameworks (CORBA, OLE, SOM, etc.), producing applications which are complex conglomerates of variegated programs. To support these applications, the machine must present a programmable interface (i.e. efficient shared address spaces and data movement) and scaleable high performance. This project will study a flexible machine architecture that recognizes these technological realities and not only supports advanced software structures, but exploits them to configure its programmable hardware, adapting itself to the application. The programming flexibility can provide a wide range of convenient interfaces, ranging from uniform cache-coherent shared memory, to clusters of smaller shared memory systems, to fully distributed memory. In addition to a range of interfaces, this flexible machine can customize both operations and protocols, exploiting appropriate mechanisms and policies to minimize the critical performance aspect--communication--at all levels of the system. This machine design leverages the wealth of research into optimal architectural mechanisms, customizable cache-coherence, as well as technological advances in interprocedural analysis, programmable hardware, and hardware synthesis technology, to achieve general-purpose high performance.