CAREER: CPU and GPU Based Heterogeneous Architecture Design and Managements

异构计算机体系结构，尤其是那些结合了联合收割机CPU和GPU的体系结构，在桌面和移动的平台中已经变得普遍。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源效率和性能，这个CAREER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耗行为。这些模型也将用于开发异构体系结构设计选择。拟议的研究汇集了来自架构，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。研究结果可直接用于设计下一代异构体系结构和软件系统。PI计划与工业合作伙伴合作，以确保技术转移的直接途径。在该项目中，研究员计划为本科生和研究生开发一个新的本科课程和一个新的简单GPU模拟器框架。拟议的模拟器将提供给广大社区的研究人员。

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.