Collaborative Research: CSR-AES: REEact: A Robust Execution Environment for Fragile Multicore Systems

该研究致力于设计、实现和评估一个称为REEACT(Robust Execution Environment)的高级执行系统，该系统能够动态地使应用程序的执行适应下一代多核(CMP)芯片中异构性来源的运行时资源环境。异构性来源包括影响单个核和内存块的最大性能的进程变化、导致核性能随时间变化的功耗优化(如DFVS)和由于热紧急情况导致核关闭的可靠性影响。REEACT是一种虚拟执行环境(VEE)，用于协调、控制和调整应用程序的执行。它采用多种技术组合来调整硬件资源和应用程序的软件代码，以适应CMP的异构性，从而在并不是所有的CMP核心和/或存储块都可用的情况下提供最佳的性能和功率解决方案。这项研究通过使用这些体系结构来实现高性能计算，从而影响了CMP技术。有了有效的异构性管理策略，科学家、消费者和商业人士将更有效地使用高性能应用程序，从而在制药开发、金融市场预测和环境科学建模等领域取得更大进展。这项研究通过参与研究项目以及中医课程和课程模块来影响本科生和研究生。

This research focuses on the design, implementation, and evaluation of an advanced execution system, called REEact (Robust Execution Environment), which dynamically adapts an application's execution to the runtime resources landscape originating from the sources of heterogeneity in a next generation multi-core (CMP) chip.The sources of heterogeneity of interest are those that arise from process variation that impacts the maximum performance of individual cores and memory blocks, from power optimizations such as DFVS that result in varying core performance over time and core shut down due to thermal emergencies, and from reliability effects resulting in cores that must be disabled due to permanent faults that occur in the field. REEact is a type of virtual execution environment (VEE) that mediates, controls, and adapts the application's execution. It employs a combination of techniques to adapt both the hardware resources and the application's software code to accommodate the heterogeneous nature of the CMP to provide the best performance and power solution where not all of the CMP cores and/or memory blocks are available. This research impacts CMP technology by enabling the use of these architectures for high performance computing. With effective strategies for managing heterogeneity, scientists, consumers and business people will more effectively use high-performance applications, leading to greater advances in areas such as pharmaceutical development, financial market forecasting, and environmental science model¬ing. This research impacts both undergraduate and graduate students through their involvement in the research projects and through courses and course modules on CMPs.