CAREER: High-Performance Computing for Computational Science and Engineering

职业：计算科学与工程的高性能计算

• 批准号: 9502710
• 负责人: Andrew Lumsdaine
• 金额: $ 11.82万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-01 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9502710&HistoricalAwards=false
• 关键词: CAREER; Performance; Computing; Computational; Science

The primary emphasis of this Career Development Plan is the coordinated development of research and education programs in high-performance computing for computational science and engineering. Research Plan: The main goals of high-performance computing are high-performance, scalability, and portability. To attain these objectives for modern scientific and engineering applications, new hardware paradigms, new software methodologies, and new numerical algorithms are needed. Moreover, the interdependencies between hardware, software, algorithm, and application have an essential bearing on performance, scalability, and portability and must also be well understood. This work is an inclusive effort to create a substantial, unified base of understanding about high-performance computing for scientific and engineering applications that can be broadly applied. The specific objectives of this work are to: (1) Develop and analyze high-performance, portable, computational kernels and numerical libraries that are capable of exploiting modern computing architectures and operating systems, such as symmetric multiprocessors, operating systems, and gigabit networks; (2) Develop and analyze prototype object-based and object-oriented scalable software libraries for high-performance computing and for computational scientific and engineering applications; (3) Develop and analyze new algorithms for maximizing the scalability of stationary and time-dependent problems; (4) Apply the new algorithms and software libraries to real, substantial, computational science and engineering applications. Education Plan: Because of the increasing importance of computational science and engineering, it is important that computer scientists (and indeed, scientists and engineers in general) understand the intricacies and inter-relationships inherent to high-performance computing. A graduate course in numerical computing has already been developed and incorporated into the graduate core curriculum in the Computer Science and Engineering program at the University of Notre Dame. Building on this course, new graduate-level courses in high-performance computing will continue to be introduced. At the undergraduate level, a senior elective in high-performance computing is being introduced, and there will be continued effort to support and direct undergraduate research.

本职业发展计划的主要重点是 研究和教育计划的协调发展， 计算科学与工程的高性能计算。 研究计划：高性能计算的主要目标是高性能， 可扩展性和可移植性。 为了实现这些目标，现代科学和 工程应用，新的硬件范例，新的软件方法， 需要数值算法。 此外， 硬件、软件、算法和应用程序对 性能、可扩展性和可移植性，而且还必须 明白 这项工作是一项包容性的努力，以创造一个实质性的，统一的基础， 了解科学和工程领域的高性能计算 可以广泛应用的应用。这项工作的具体目标 主要是：（1）开发和分析高性能，便携式，计算 内核和数值库能够利用 现代计算 架构和操作系统，例如 对称多处理器， 操作系统和千兆网络;（2）开发和 基于对象和面向对象分析原型 可扩展的软件 用于高性能计算和计算科学 和工程应用;（3）开发和分析新的算法， 最大化固定和时间相关问题的可扩展性;（4） 将新的算法和软件库应用于真实的， 实质上， 计算科学与工程 应用. 教育计划：由于计算科学和工程的重要性日益增加， 重要的是，计算机科学家（事实上，科学家和工程师在 一般）理解固有的复杂性和相互关系， 高性能计算。 数值计算的研究生课程已经开发并纳入 计算机科学与工程专业的研究生核心课程， 圣母院。 在此基础上，新的高性能计算研究生课程将继续 介绍 在本科阶段，高性能的高级选修课 计算机正在引入，并将继续努力支持和 直接本科生研究。