Center for Research on Parallel Computation

莱斯大学的这一提议，与 加州理工学院（Caltech），阿贡国立大学 洛斯阿拉莫斯国家实验室和洛斯阿拉莫斯国家实验室要求资金， 建立科学技术研究中心， 并行计算 中心主任将是 莱斯大学的肯·肯尼迪教授。 该中心的主要目标将是使平行 计算机系统更容易使用。 为了实现这一目标， 中心将在多个层面上解决这个问题， 每个人的独特技能的优势， 参与机构。 这些互补领域将是 对平行使用/应用的各个方面产生影响 系统是计算机体系结构，编程系统， 计算数学和科学应用。 特别是，该中心将攻击平行的问题， 所有级别的编程：应用程序、算法、编译器和 机 必须通过以下方式获得并行编程的经验： 设计和构建新的应用程序， 并行工程中的重要科学和工程问题 机械. 必须开发新的内在并行算法 计算数学的基本问题。 编程系统必须被开发出来， 用户可以在高抽象级别上解决问题， 通过科学家的参与来降低效率 系统的架构细节。 最后，技术 并行架构中的基础必须通过工程来继续 精明的妥协之间的设计，利用 底层组件，简化任务的设计， 生成高效的代码， 融入其中。 这项工作将涉及研究人员 以及来自不同领域的科学家们的共同努力 所有参与这一真正多学科的 中心

This proposal from Rice University, in collaboration with the California Institute of Technology (Caltech), Argonne National Laboratory, and Los Alamos National Laboratory requests funds to establish a Science and Technology Center for Research on Parallel Computation. The Director of the Center will be Professor Ken Kennedy of Rice University. The principal goal of the Center will be to make parallel computing systems easier to use. To achieve this goal, the Center will attack this problem on many levels by taking advantage of the unique skills of individuals from each of the participating institutions. The complementary areas that will be brought to bear on all aspects of use/application of parallel systems are computer architecture, programming systems, computational mathematics, and scientific applications. In particular, the Center will attack the problem of parallel programming at all levels: application, algorithm, compiler, and machine. Experience must be gained in parallel programming by designing and building new application programs that solve important scientific and engineering problems on parallel machines. New, inherently parallel algorithms must be developed for the fundamental problems of computational mathematics. Programming systems must be developed that permit the computer user to solve problems at a high level of abstraction without compromising efficiency by involvement of the scientist in the architectural details of the system. Finally the technological base in parallel architectures must be continued by engineering shrewd compromises between designs that make use of the underlying components, designs that simplify the task of generating efficient code, and the algorithms that are incorporated within them. This effort will involve researchers and scientists from many different areas resulting in the cross- fertilization of all involved in this truly multidisciplinary Center.