Customizable Domain-Specific Computing

可定制的特定领域计算

• 批准号: 0926127
• 负责人: Jason Cong
• 金额: $ 1000万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0926127&HistoricalAwards=false
• 关键词: Customizable; Domain; Specific; Computing

"This award is funded under the American Recovery and Reinvestment Act of 2009(Public Law 111-5)."Customizable Domain-Specific ComputingTo meet ever-increasing computing needs and overcome power density limitations, the computing industry has entered the era of parallelization, with tens to hundreds of computing cores integrated into a single processor; and hundreds to thousands of computing servers connected in warehouse-scale data centers. However, such highly parallel, general-purpose computing systems still face serious challenges in terms of performance, energy, heat dissipation, space, and cost. In this project we look beyond parallelization and focus on domain-specific customization as the next disruptive technology to bring orders-of-magnitude power-performance efficiency improvement to important application domains. The intellectual merit of this project includes development of a general methodology for creating novel customizable architecture platforms and the associated compilation tools and runtime management environment to support domain-specific computing to: 1) achieve orders-of-magnitude computing efficiency improvement for applications in a specific domain; and 2) demon-strate that such improvement can be obtained with little or no impact on design productivity, so that it can be deployed in a wide range of application domains. Our proposed domain-specific customizable computing platform includes: 1) a wide range of customizable computing elements, from heterogeneous fixed cores to coarse-grain customizable cores, and to fine-grain field-programmable circuit fabrics; 2) customizable high-performance radio frequency interconnects; 3) highly automated compilation tools and runtime management software systems for application development; and 4) a general, reusable methodology for customizable computing applicable across different domains. By combining these critical capabilities, we shall deliver a super-computer-in-a-box that is customized to a particular application domain to enable disruptive innovations in that domain. This approach will be demonstrated in several important application domains in healthcare. The broader impact of this project will be measured by the new digital revolution enabled by customized computing. We will demonstrate the feasibility and advantages of the proposed research in the domain of healthcare, given its significant impact on the national economy and quality of life issues. In particular, we focus our effort on revolutionizing the role of medical imaging and hemodynamic modeling in healthcare, providing much more cost-efficient, convenient solutions for preventative, diagnostic, and therapeutic procedures to dramatically improve healthcare quality, efficiency, and patient outcomes. The broader impact of this project also includes the integration of research and education, exposing graduate, undergraduate, and high school stu-dents to the new concepts and research from this project via several new courses jointly developed and shared by researchers in our newly established Center for Domain-Specific Computing (CSDC). Summer research fellowship programs to support high school and undergraduate students will be provided by CSDC. Our goal is to train a new generation of students who are prepared for customized parallelization and computing, and can effectively apply such techniques to many areas of our society, thus furthering the digital revolution. Special efforts are being made to attract underrepresented students at all levels via partnerships with campus organizations focused on diversity, such as the UCLA Center for Excellence in Engineering and Diversity.This research will be carried out as a collaborative effort between four universities: UCLA (the lead institution), Rice, UC Santa Barbara, and Ohio State. The research team consists of a group of highly accomplished researchers with diversified backgrounds, including computer science and engineering, electrical engineering, medicine, and applied mathematics. For more information, please visit http://cdsc.cs.ucla.edu.

“该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。“可定制的特定领域计算为了满足不断增长的计算需求并克服功率密度限制，计算行业已经进入并行化时代，数十到数百个计算核心集成到单个处理器中;数百到数千个计算服务器连接在仓库规模的数据中心中。然而，这种高度并行的通用计算系统在性能、能量、散热、空间和成本方面仍然面临严峻的挑战。在这个项目中，我们超越了并行化，专注于特定领域的定制，将其作为下一个颠覆性技术，为重要的应用领域带来数量级的功率性能效率改进。该项目的智力价值包括开发一种通用方法，用于创建新颖的可定制架构平台以及相关的编译工具和运行时管理环境，以支持特定领域的计算：1）为特定领域的应用程序实现数量级的计算效率改进; 2）证明这种改进可以在对设计生产率影响很小或没有影响的情况下获得，从而可以在广泛的应用领域中部署。我们提出的特定领域的可定制计算平台包括：1）广泛的可定制计算元素，从异构的固定核到粗粒度的可定制核，再到细粒度的现场可编程电路结构; 2）可定制的高性能射频互连; 3）用于应用开发的高度自动化的编译工具和运行时管理软件系统;以及4）通用的、可重用的方法，用于可跨不同领域应用的可定制计算。通过结合这些关键功能，我们将提供一个超级计算机在一个盒子，是定制到一个特定的应用领域，使该领域的颠覆性创新。这种方法将在医疗保健中的几个重要应用领域中得到证明。这一项目更广泛的影响将通过定制计算所带来的新的数字革命来衡量。我们将展示拟议研究在医疗保健领域的可行性和优势，鉴于其对国民经济和生活质量问题的重大影响。特别是，我们致力于彻底改变医学成像和血流动力学建模在医疗保健中的作用，为预防，诊断和治疗程序提供更具成本效益，更方便的解决方案，以显着提高医疗保健质量，效率和患者结局。该项目的更广泛的影响还包括研究和教育的整合，通过我们新成立的特定领域计算中心（CSDC）的研究人员共同开发和共享的几门新课程，使研究生，本科生和高中生接触到该项目的新概念和研究。暑期研究奖学金计划，以支持高中和本科生将提供CSDC。我们的目标是培养新一代的学生，他们为定制的并行化和计算做好准备，并能有效地将这些技术应用于我们社会的许多领域，从而推动数字革命。通过与注重多样性的校园组织（如UCLA工程与多样性卓越中心）合作，特别努力吸引各级代表性不足的学生。这项研究将在四所大学之间进行合作，这四所大学是：UCLA（牵头机构），Rice，UC圣巴巴拉和俄亥俄州州立大学。研究团队由一群具有多元化背景的高成就研究人员组成，包括计算机科学与工程、电气工程、医学和应用数学。欲了解更多信息，请访问http://cdsc.cs.ucla.edu。