Accelerator-Rich Architectures with Applications to Healthcare

富含加速器的架构及其在医疗保健领域的应用

• 批准号: 1436827
• 负责人: Jason Cong
• 金额: $ 75万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1436827&HistoricalAwards=false
• 关键词: Accelerator; Rich; Architectures; Applications; Healthcare

Many healthcare applications present significant computational challenges. For example, the computational demand for personalized cancer treatment is prohibitively high for the general-purpose computing technologies, as tumor heterogeneity requires great sequencing depths, structural aberrations are difficult to detect with today's methods, and the tumor has the ability to evolve i.e., the same tumor might be assayed a great many times during the course of treatment. The goal of this project is to apply the domain-specific customized computing techniques developed by the Center for Domain-Specific Computing (CDSC) at UCLA to greatly accelerate computation for some key healthcare applications. The CDSC, established in 2009 with the support of the NSF, looks beyond parallelization, and focuses on domain-specific customization as the next disruptive technology for power-performance efficiency improvement. In the past four years, CDSC has demonstrated significant performance and energy efficiency with innovation in developing customizable heterogeneous computing technologies. The current proposal under the NSF Innovation Transition program leverages the research results from CDSC, and focuses on key research problems and solutions to make domain-specific customizable computing feasible and practical for innovation transition to the industry, Specifically, the project will develop accelerator-rich architectures along with unified adaptive runtime systems for personalized cancer treatment, medical image processing, and will enable deployment in several energy efficient programmable platforms capable of handling huge volumes of state of the art real time patient data. The center will continue its already successful outreach program, through a partnership with the UCLA Center for Excellence in Engineering and Diversity, to involve highly diversified high school and undergraduate students for summer research. The success of our project will enable significant advances in medical imaging analysis and personalized cancer treatment, which will greatly improve healthcare quality while reducing cost. The participation of the industrial partner in this InTrans project will greatly facilitate the innovation transition of research results from this project to industry for energy-efficient computing.

许多医疗保健应用面临着巨大的计算挑战。例如，对于通用计算技术来说，个性化癌症治疗的计算需求过高，因为肿瘤异质性需要很大的测序深度，结构畸变很难用当今的方法检测到，而且肿瘤具有进化的能力，即在治疗过程中，同一肿瘤可能会被检测多次。该项目的目标是应用加州大学洛杉矶分校特定领域计算中心（CDSC）开发的特定领域定制计算技术，极大地加速一些关键医疗保健应用的计算。 CDSC 于 2009 年在 NSF 的支持下成立，它的目光超越了并行化，并专注于特定领域的定制，将其作为提高功耗性能效率的下一个颠覆性技术。在过去四年中，CDSC 在开发可定制的异构计算技术方面进行了创新，展示了显着的性能和能源效率。 NSF创新转型计划下的当前提案利用了CDSC的研究成果，重点关注关键研究问题和解决方案，使特定领域的可定制计算在向行业的创新转型中变得可行和实用，具体来说，该项目将开发富含加速器的架构以及用于个性化癌症治疗、医学图像处理的统一自适应运行时系统，并将支持在多个能够处理大量最先进的实时患者数据的节能可编程平台中进行部署。该中心将通过与加州大学洛杉矶分校工程与多样性卓越中心的合作，继续其已经成功的外展计划，让高度多元化的高中生和本科生参与暑期研究。我们项目的成功将使医学成像分析和个性化癌症治疗取得重大进展，从而大大提高医疗质量，同时降低成本。产业合作伙伴参与该InTrans项目将极大促进该项目研究成果在节能计算方面向产业的创新转化。