CAREER: CPU and GPU Based Heterogeneous Architecture Design and Managements

职业：基于CPU和GPU的异构架构设计和管理

• 批准号: 1054830
• 负责人: Hyesoon Kim
• 金额: $ 46万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-03-01 至 2018-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1054830&HistoricalAwards=false
• 关键词: CAREER; CPU; GPU; Based; Heterogeneous

Heterogeneous computer architectures, especially those that combine CPUs and GPUs, have become widespread in both desktop and mobile platforms. These architectures increase the complexity of architecture designs and the severity of resource management problems. To increase energy efficiency and performance in these architectures, this CAREER project investigates new resource management system that combines static and dynamic analysis. It uses analytical and statistical models to predict application performance and energy consumption behaviors. These models will be also used for exploiting heterogeneous architecture design choices. The proposed research brings together cross-disciplinary techniques from architecture, compiler, and power measurement systems, and researchers from academia and industry. The results of this research can be directly used for designing the next generations of heterogeneous architectures and software systems. The PI plans to collaborate with industrial partners to ensure a direct path for technology transfer.In this project, the investigator plans to develop a new undergraduate course and a new simple GPU simulator framework for undergraduate students and graduate students. The proposed simulator will be available to a wide community of researchers.

异类计算机体系结构，特别是那些结合了CPU和GPU的体系结构，在桌面和移动平台中都变得普遍。这些架构增加了架构设计的复杂性和资源管理问题的严重性。为了提高这些架构的能效和性能，该职业项目研究了结合静态和动态分析的新资源管理系统。它使用分析和统计模型来预测应用程序性能和能源消耗行为。这些模型还将用于利用不同的架构设计选择。这项拟议的研究汇集了来自建筑学、编译器和功率测量系统的跨学科技术，以及来自学术界和工业界的研究人员。本研究成果可直接用于设计下一代的异构型体系结构和软件系统。PI计划与行业合作伙伴合作，确保技术转移的直接途径。在这个项目中，研究人员计划为本科生和研究生开发一门新的本科课程和一个新的简单的GPU模拟器框架。拟议的模拟器将可供广泛的研究人员使用。