CSR:Medium: Architecturally Diverse Systems for Streaming Applications

CSR：中：用于流应用程序的架构多样化系统

• 批准号: 0905368
• 负责人: Mark Franklin
• 金额: $ 90万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0905368&HistoricalAwards=false
• 关键词: CSR; Medium; Architecturally; Diverse; Systems

Architecturally Diverse Systems for Streaming Applications Abstract (0905368)Many important scientific computing problems, called ?streaming applications,? have high input data rates derived from real-time sensor data or directly from data streaming from disk arrays. Real-time sensor based data (e.g., telescopic astrophysical data obtained in the search for new planets) is frequently sourced from analog devices and requires filtering and various data cleaning prior to performing a host of complex computations. Large disk based data sets (e.g., genome and protein sets used in understanding disease factors) are often passed at high data rates from disk storage. Choices for dealing with such applications include a multiplicity of computing devices (e.g., general purpose processors, chip-multiprocessors, graphics processors, field programmable gate arrays, etc.). While each individually is well matched to certain types of computations, often more effective solutions are found by integrating multiple computer types into a single system. The central research issue is determining how to effectively integrate diverse computing resources for solution of complex streaming applications. The research includes further development of the AutoPipe design environment. AutoPipe provides tools for algorithm specification, and for design, simulation and deployment of diverse integrated computing architectures. Techniques for inclusion of analog devices in mixed analog-digital systems is being undertaken so that Auto-Pipe can handle mixed signal, analog/digital algorithmic functional and resource components in a single system. The research activity is driven by two important applications taken from the astro-physics and computational biology domains. There will be heavy involvement of graduate and undergraduate students in the research.

流应用程序的体系结构多样的系统摘要（0905368）许多重要的科学计算问题，称为？流媒体应用程序，？具有从实时传感器数据或直接从来自磁盘阵列的数据流导出的高输入数据速率。基于实时传感器的数据（例如，在寻找新行星时获得的望远镜天体物理数据）经常来自模拟设备，在进行大量复杂计算之前需要过滤和各种数据清理。 基于磁盘的大型数据集（例如，用于理解疾病因素的基因组和蛋白质组）通常以高数据速率从磁盘存储器传递。用于处理这样的应用的选择包括多种计算设备（例如，通用处理器、芯片多处理器、图形处理器、现场可编程门阵列等）。虽然每一个单独的是很好地匹配某些类型的计算，往往更有效的解决方案是通过集成多种计算机类型到一个单一的系统。如何有效地整合不同的计算资源，以解决复杂的流媒体应用是当前流媒体研究的中心问题。该研究包括AutoPipe设计环境的进一步开发。AutoPipe为算法规范以及各种集成计算架构的设计、仿真和部署提供了工具。正在采用将模拟设备包括在混合模拟-数字系统中的技术，使得自动管道可以在单个系统中处理混合信号、模拟/数字算法功能和资源组件。研究活动是由两个重要的应用程序从天体物理学和计算生物学领域。研究生和本科生将大量参与研究。