Evaluation and Deployment of ParaScope

康奈尔大学科学与工程理论与仿真中心（康奈尔理论中心）提议与总部位于莱斯大学的并行计算研究中心（CRPC）合作，用于研究在科学编程环境下可扩展并行程序的开发。肯·肯尼迪;他在莱斯大学的研究小组开发了一个名为ParaScope的并行编程环境原型。康奈尔大学是接受该软件进行测试和评估的大约20个网站之一。我们建议共同评估和部署该软件。拟议研究的目标有两个：(1)看看这样的环境对科学编程有多有用，(2)确定这样的环境在可伸缩性和重定向到不同机器方面的可扩展性。由于工具的成熟，以及快速将用户程序重新定位到新系统的需求不断增长，进行此类研究的时机已经成熟。随着并行计算新方法的探索，高性能计算和通信计划将进一步鼓励并行系统的扩散。在接下来的五年里，我们领域的快速变化需要并行编程工具，如Parascope，可以快速适应以支持新的目标并行架构。

The Center for Theory and Simulation in Science and Engineering at Cornell University (Cornell Theory Center) proposes a collaboration with the Center for Research on Parallel Computation (CRPC), headquartered at Rice University, for research in the development of scaleable parallel programs in a scientific programming environment. Ken Kennedy;s research group at Rice has developed a prototype parallel programming environment called ParaScope ?4,5,6!. Cornell is one of about twenty sites that have received this software for testing and evaluation. We propose to work together to evaluate and deploy this software. The goal of the proposed research is twofold: (1) to see how useful such an environmen is for scientific programming, and (2) to determine how extensible such and environment is, in scaleability and retargeting to different manchines. The time is ripe for such a study because of the tool's maturity and because of the growing need to retarget user programs quickly to new systems. The High Performance Computing and Communications Initiative will further encourage the proliferation of parallel systems as new approaches to parallel computing are explored. For the next five years, rapid change in our field demands parallel programming tools such as Parascope that can be quickly adapted to support new target parallel architectures.