MRI: Development of Instrumentation for Project GreenLight

MRI：为 GreenLight 项目开发仪器

• 批准号: 0821155
• 负责人: Thomas DeFanti
• 金额: $ 200万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-15 至 2012-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0821155&HistoricalAwards=false
• 关键词: MRI; Development; Instrumentation; Project; GreenLight

Proposal #: CNS 08-21155PI(s): DeFanti, Thomas A. Krueger, Ingolf H.; Papadopoulos, Philip M.; Smarr, Larry L.; Vahdat, Amin M.Institution: University of California ? San Diego La Jolla, CA 92093-0934Title: MRI/Dev.: Development of Instrumentation for Project Green LightProject Proposed:This project, developing an instrument called GreenLight, measures, monitors, and optimizes the energy consumption of large-scale scientific applications from many different areas. The work enables inter-disciplinary researchers to understand how to make ?green? (i.e., energy efficient) decision for IT computation and storage. Consequently, an experienced team might be able to make deep and quantitative explorations in advanced architecture, including alternative circuit fabrics such as Field Programmable Gate Arrays (FPGAs), direct-graph execution machines, graphics processors, solid-state disks, and photonic networking. The enabled computing and systems research will yield new quantitative data to support engineering judgments on comparative ?computational work per watt? across full-scale applications running at-scale computing platforms, thus helping to re-define fundamentals of systems engineering for a transformative concept, that of green CyberInfrastructure (CI). Keeping in mind that the IT industry consumes as much energy (same carbon footprint) as the airline industry, this project enables five communities of application scientists, drawn from metagenomics, ocean observing, microscopy, bioinformatics, and the digital media, to understand how to measure and then minimize energy consumption, to make use of novel energy/cooling sources, and employ middleware that automates optimal choice of compute/power strategies. The research issues addressed include studying the dynamic migration of applications to virtual machines for power consumption reduction, studying the migrations of virtual machines to physical machines to achieve network locality, developing new power/thermal management policies (closed loop, using feedback from sensors), classifying scientific algorithms in the context of co-processing hardware such as GPUs and FPGAs, and developing algorithms for resource sharing/scheduling in heterogeneous platforms. The full-scale virtualized device, the GreenLight Instrument, will be developed to measure, monitor, and make publicly available (via service oriented architecture methodology), real-time sensor outputs, empowering researchers anywhere to study the energy cost of at-scale scientific computing. Hence, this work empowers domain application researchers to continue to exploit exponential improvements in silicon technology, and to compete globally. Although the IT industry has begun to develop strategies for ?greening? traditional data centers, the physical reality of modern campus CI currently involves a complex network of ad hoc and suboptimal energy environments in departmental facilities. The number of these facilities increases extremely fast creating campus-wide crisis of space, power, and cooling due to the value of computational and data intensive approaches to research. This project addresses these important issues offering the possibility to improve.Broader Impacts: The project enables researchers to carry-out quantitative explorations into energy efficient CyberInfrastructure (CI) and to train the next generation of energy-aware scientists. It enlists graduate students from five disciplinary projects, involves minority serving institutions, and is likely to have direct impact on commercial components of the nation?s CI.

提案编号：CNS 08-21155PI(s)：DeFanti、Thomas A. Krueger、Ingolf H.；帕帕多普洛斯，菲利普·M.；斯马尔，拉里·L.； Vahdat，Amin M.机构：加州大学？圣地亚哥拉霍亚，加利福尼亚州 92093-0934 标题：MRI/Dev.：绿光项目仪器开发项目建议：该项目开发一种名为 GreenLight 的仪器，测量、监控和优化来自许多领域的大规模科学应用的能源消耗不同的领域。这项工作使跨学科研究人员能够了解如何实现“绿色”。 IT 计算和存储（即节能）决策。因此，经验丰富的团队可能能够对先进架构进行深入和定量的探索，包括替代电路结构，例如现场可编程门阵列（FPGA）、直接图形执行机、图形处理器、固态磁盘和光子网络。启用的计算和系统研究将产生新的定量数据，以支持对“每瓦计算工作量”进行比较的工程判断。跨大规模计算平台上运行的全面应用程序，从而有助于重新定义系统工程的基础知识，以实现绿色网络基础设施（CI）这一变革性概念。请记住，IT 行业消耗的能源与航空业一样多（相同的碳足迹），该项目使来自宏基因组学、海洋观测、显微镜、生物信息学和数字媒体的五个应用科学家社区能够了解如何测量并最大限度地减少能源消耗，利用新型能源/冷却源，并采用中间件来自动选择最佳的计算/电源策略。解决的研究问题包括研究应用程序到虚拟机的动态迁移以降低功耗，研究虚拟机到物理机的迁移以实现网络局部性，开发新的电源/热管理策略（闭环，使用传感器的反馈），在 GPU 和 FPGA 等协同处理硬件的背景下对科学算法进行分类，并开发异构平台中资源共享/调度的算法。全尺寸虚拟化设备 GreenLight Instrument 将被开发用于测量、监控和公开（通过面向服务的架构方法）实时传感器输出，使世界各地的研究人员能够研究大规模科学实验的能源成本。计算。因此，这项工作使领域应用研究人员能够继续利用硅技术的指数级改进，并在全球范围内竞争。尽管IT行业已经开始制定“绿色化”战略。与传统数据中心不同，现代校园 CI 的物理现实目前涉及部门设施中临时和次优能源环境的复杂网络。由于计算和数据密集型研究方法的价值，这些设施的数量增长极快，造成了整个校园的空间、电力和冷却危机。该项目解决了这些重要问题，提供了改进的可能性。更广泛的影响：该项目使研究人员能够对节能网络基础设施（CI）进行定量探索，并培训下一代具有能源意识的科学家。它从五个学科项目中招募研究生，涉及少数族裔服务机构，并可能对国家 CI 的商业部分产生直接影响。