MRI: Development of Instrumentation for Project GreenLight

提案#：CNS 08-21155 PI(S)：DeFanti，Thomas A.Krueger，InGolf H.；Papadoulos，Philip M.；Smarr，Larry L.；Vahdat，Amin M.机构：加州大学？加州圣地亚哥拉霍亚92093-0934标题：核磁共振/开发：为绿色照明项目开发仪器项目建议：该项目开发一种名为绿光的仪器，测量、监控和优化来自许多不同领域的大型科学应用的能源消耗。这项工作使跨学科的研究人员能够理解如何使？绿色？(即，高能效)IT计算和存储决策。因此，经验丰富的团队也许能够在高级体系结构中进行深入和定量的探索，包括现场可编程门阵列(FGA)、直接图形执行机、图形处理器、固态硬盘和光子网络等替代电路结构。使能的计算和系统研究将产生新的量化数据，以支持工程上对比较计算功/瓦？在大规模计算平台上运行的全规模应用程序，从而帮助重新定义系统工程的基本原理，以实现一个变革性的概念，即绿色网络基础设施(CI)。考虑到IT行业消耗的能源与航空业一样多(相同的碳足迹)，该项目使来自元基因组学、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，利用新的能源/冷却来源，并使用可自动选择最佳计算/功率策略的中间件。所涉及的研究问题包括：研究应用程序向虚拟机的动态迁移以降低功耗；研究虚拟机向物理机的迁移以实现网络局部化；开发新的电源/热管理策略(使用来自传感器的反馈)；在协处理硬件(如GPU和FPGA)的背景下对科学算法进行分类；以及开发用于在不同平台上的资源共享/调度的算法。将开发全尺寸的虚拟设备Greenlight仪器，以测量、监控并公开(通过面向服务的架构方法)实时传感器输出，使任何地方的研究人员都能够研究大规模科学计算的能源成本。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“绿化”战略。对于传统数据中心，现代校园CI的物理现实目前涉及一个复杂的网络，该网络由部门设施中的临时和次优能源环境组成。由于计算和数据密集型研究方法的价值，这些设施的数量以极快的速度增长，造成了校园范围内的空间、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。广泛的影响：该项目使研究人员能够对高能效的网络基础设施(CI)进行量化探索，并培训下一代具有能源意识的科学家。它招收了五个学科项目的研究生，涉及少数民族服务机构，并可能对国家的商业组成部分产生直接影响-S CI。

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.