From Business Analytics To Accelerator Clouds

从业务分析到加速器云

• 批准号: 1032032
• 负责人: Karsten Schwan
• 金额: $ 18.51万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-15 至 2012-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1032032&HistoricalAwards=false
• 关键词: Business; Analytics; Accelerator; Clouds

This proposal seeks funding for the Center for Experimental Research in Computer Systems studies conducted by the Georgia Institute of Technology site (lead). Funding Requests for Fundamental Research are authorized by an NSF approved solicitation, NSF 10-507. The solicitation invites I/UCRCs to submit proposals for support of industry-defined fundamental research. Accelerator Clouds are evolving in response to enormous growth in business data and the impact of power consumption in data-centers and cloud systems. This program address the development of accelerator clouds equipped with high performance accelerators such as the new generation of graphics processing units (GPUs) used for general purpose computing. The development, deployment, and widespread adoption of accelerator clouds in the enterprise have intellectual and associated engineering challenges. This proposal includes a new domain specific intermediate representation, the kernel IR (intermediate representation) tailored to business data analytics applications. This model for IR is efficient for compilation of enterprise applications and powerful for driving the optimized compilation to a range of accelerator targets. It will ensure portability across a range of platforms. Also, it includes on-line program analysis techniques and transformations to optimize the execution on a range of hardware targets. The ability to leverage the GPU resources in the cloud can significantly improve many data-intensive and compute-intensive applications such as risk assessment for insurance companies. Given the experimental nature of the work, it is likely that the tools developed will be leveraged by the companies involved Logic Blox, IBM). The PIs intent to continue their active participation with CRA-W, and with students from Georgia Tech's Women Resource Center. The proposal gives convincing details of educational components and how they are linked to the proposed research. The proposers have a strong track record in integrating the proposed research in education. The industrial partners are convincingly involved in the proposed research (interest in the concepts, integrated education, internships).

本提案为佐治亚理工学院网站（lead）进行的计算机系统研究实验研究中心寻求资金。基础研究的资金申请由NSF批准的征求授权，NSF 10-507。本次招标邀请I/ ucrc提交支持行业定义基础研究的提案。加速器云正在不断发展，以应对业务数据的巨大增长以及数据中心和云系统中功耗的影响。该项目致力于开发配备高性能加速器的加速器云，如用于通用计算的新一代图形处理单元（gpu）。在企业中开发、部署和广泛采用加速器云具有智力和相关的工程挑战。该建议包括一个新的特定于领域的中间表示，即为业务数据分析应用程序量身定制的内核IR（中间表示）。这种IR模型对于企业应用程序的编译是有效的，并且对于将优化的编译驱动到一系列加速器目标是强大的。它将确保跨一系列平台的可移植性。此外，它还包括在线程序分析技术和转换，以优化在一系列硬件目标上的执行。利用云中的GPU资源的能力可以显著改善许多数据密集型和计算密集型应用程序，例如保险公司的风险评估。考虑到这项工作的实验性质，开发的工具很可能会被涉及的公司（Logic Blox， IBM）所利用。pi打算继续积极参与CRA-W以及佐治亚理工学院女性资源中心的学生。该提案提供了令人信服的教育组成部分的细节，以及它们如何与拟议的研究联系起来。提议者在将提议的研究与教育相结合方面有着良好的记录。工业合作伙伴令人信服地参与了拟议的研究（对概念的兴趣，综合教育，实习）。