Collaborative Research: Energy-Aware Memory Synchronization for Embedded Multicore Systems

高端嵌入式系统，如智能手机、游戏机、支持gps的汽车系统、家庭娱乐中心等？环境智能?系统在日常生活中变得越来越重要。使这样的系统节能提出了新的挑战，对经济和环境有着广泛的影响。这种高端嵌入式系统是多核架构，需要管理内存连接和调度等资源。本提案研究了不受实时约束的高端嵌入式系统中系统级并发问题的能源含义。特别是，它旨在开发同步内存访问的节能技术，并试图理解硬件和软件之间的最佳任务划分。嵌入式系统是现代生活中不可或缺的组成部分，并且是一个不断增长的市场。随着这个市场中产品的计算需求变得越来越复杂，在满足这些系统施加的严格限制方面将面临更多的挑战。性能的改进，特别是这些设备的能源效率，将在改进功能、设备寿命和资源节约方面产生重大影响。该提案涉及计算机工程和计算机科学两个学科以及两个机构之间的合作。该提案的更广泛影响包括发展以多核和并行计算为重点的讲习班，特别强调鼓励妇女和代表性不足的少数民族参加。此外，该项目的研究结果将整合到现有课程中，特别是旨在引入计算机科学与工程课程之间的交叉问题。

High-end embedded systems such as smart phones, game consoles, GPS-enabled automotive systems, home entertainment centers, and other ?ambient intelligence? systems are becoming increasingly important in everyday life. Making such systems energy-efficient presents new challenges with broad implications for the economy and the environment. Such high-end embedded systems are multicore architectures, which require management of resources such as memory connectivity and scheduling. This proposal investigates the energy implications of system-level concurrency issues in high-end embedded systems that are not limited by real-time constraints. In particular, it aims to develop energy-efficient techniques of synchronizing memory accesses, and tries to understand the optimal division of tasks between hardware and software. Embedded systems are an integral component of modern life, and is a continually growing market. As the computational needs of the products in this market becomes more sophisticated, there will be more challenges in meeting the tight constraints imposed by these systems. Improvements in the performance and in particular the energy efficiency of such devices would have a substantial impact in terms of improved functionality, device longevity, and resource conservation. This proposal involves collaboration between two disciplines, computer engineering and computer science, and two institutions. Broader impacts of the proposal include development of workshops focused on multicore and parallel computing with special emphasis on encouraging women and under-represented minorities to participate. In addition, the findings of this project will be integrated into existing courses, specifically aiming to introduce cross-cutting issues between the computer science and engineering courses.