Next Generation Software: Adaptive, Performance-Portable Software for Next-Generation and Immersive Applications

下一代软件：适用于下一代沉浸式应用程序的自适应、高性能便携式软件

• 批准号: 9975011
• 负责人: Kai Li
• 金额: $ 60万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-15 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9975011&HistoricalAwards=false
• 关键词: Next; Generation; Software; Adaptive; Performance

EIA-9975011Princeton UniversityKai LiNext Generation Software: Adaptive, Performance-Portable Software for Next-Generation and Immersive ApplicationsA new generation of applications is becoming very important for high-performance computing, including collaborative design, interactive walkthroughs and large data visualization, and telepresence. They require tremendous resources including CPU, memory, storage, and audio/visual devices, and they have substantially different characteristics, performance goals and system interactions than traditional scientific applications. For example, they have extremely irregular and unpredictable data access needs and workload distributions, they interact more dynamically and with many more types of input/output sensors and devices, they involve dynamic user interaction and steering, and their goal is to deliver the best possible quality at a fixed output refresh rate rather than a solution of fixed quality in the minimum possible time. As computer architectures become more complex, it becomes increasingly difficult to develop such applications to achieve the desired performance. Three properties are critical: (i) high performance for rich interactive behavior, (ii) adaptability and isolation in all layers (i.e. the complexity, and unpredictability demand that each layer of application or system software must adapt to the layers above and below it-through performance modeling and through runtime feedback and adaptation-and should try to shield the neighboring layers from each other's complexity), and (iii) performance portability across component upgrades and across the different major types of platforms that may be used in such environments. Our goal is to develop the software building blocks, runtime systems and design methodologies to assist such application development.

EIA-9975011 Princeton UniversityKai Li下一代软件：适用于下一代沉浸式应用的自适应、性能可移植软件新一代应用对于高性能计算变得非常重要，包括协作设计、交互式漫游和大数据可视化以及远程呈现。 它们需要大量的资源，包括CPU，内存，存储和音频/视频设备，并且它们具有与传统科学应用程序截然不同的特性，性能目标和系统交互。 例如，它们具有极不规则和不可预测的数据访问需求和工作负载分布，它们更动态地与更多类型的输入/输出传感器和设备交互，它们涉及动态用户交互和转向，并且它们的目标是以固定的输出刷新率提供最佳质量，而不是在尽可能短的时间内提供固定质量的解决方案。 随着计算机体系结构变得越来越复杂，开发这样的应用程序以实现期望的性能变得越来越困难。 有三个特性至关重要：（i）丰富的交互行为的高性能，（ii）所有层的适应性和隔离性（即，复杂性和不可预测性要求应用或系统软件的每一层必须通过性能建模和通过运行时反馈和适应来适应其上下层，并且应该尝试屏蔽相邻层以免受彼此的复杂性影响），以及（iii）跨组件升级和跨可在这种环境中使用的不同主要类型的平台的性能可移植性。 我们的目标是开发软件构建块，运行时系统和设计方法，以协助此类应用程序的开发。