CAREER: QoS-Aware, High-Performance, and Scalable Many-Core Memory Systems

计算机科学和工程正在经历一场革命。众核系统正迅速成为计算系统的基础，这些计算系统已很好地集成到我们生活和社会的各个方面。它们不可预测的性能和性能不当行为对所有使用计算机的领域的生产力、效率和利润产生不利影响。不幸的是，现有的众核系统在很大程度上是基于对单核系统所做的假设来设计的，即，在核之间不存在共享资源，即使存储器系统（主要的性能和功率瓶颈）是共享的。因此，众核系统非常容易受到拒绝服务、不可控、不可扩展和低性能的攻击。为了使众核系统的高效和生产力的使用，有一个迫切需要设计他们确保高质量的服务（QoS），性能鲁棒性和scalability.This研究的重点是开发的根本突破，使可扩展的，可控的，和高性能的众核存储系统。它旨在改变众核处理器的设计范式，将共享资源中的QoS和可扩展性视为一流的设计目标，并教育未来的工程师以这些目标为基本设计目标来设计系统。中心的方法是开发硬件/软件的合作技术，使灵活的QoS，分区和性能机制的存储器系统和互连。该项目开发基础技术，针对云计算、数据中心、客户端系统、移动的系统和传感器环境中的广泛应用。预计该项目中开发的研究思想将使可控，健壮，因此可用和高效的众核系统成为可能，使我们的日常生活变得更好，更有效率，并向计算绿色迈出一大步。

Computer science and engineering is undergoing a revolution. Many-core systems are rapidly becoming the foundation of computing systems that are well-integrated into every aspect of our lives and society. Their unpredictable performance and performance misbehavior adversely affects productivity, efficiency, and profit in all domains that make use of computers. Unfortunately, existing many-core systems are largely designed based on the assumptions made for single-core systems, i.e. there are no shared resources between cores, even though the memory system, a major performance and power bottleneck, is shared. As a result, many-core systems are severely vulnerable to denial of service, uncontrollable, unscalable, and low-performance. To enable the efficient and productive use of many-core systems, there is an urgent need to design them ensuring high quality-of-service (QoS), performance-robustness, and scalability.This research focuses on developing fundamental breakthroughs that enable scalable, controllable, and high-performance many-core memory systems. It aims to change the design paradigm of many-core processors to treat QoS and scalability in shared resources as first-class design goals, and educate future engineers to design systems with these goals as fundamental design objectives. The central approach is to develop hardware/software cooperative techniques to enable flexible QoS, partitioning, and performance mechanisms in memory systems and interconnects. The project develops fundamental techniques, targeting a very wide range of applications in cloud computing, data centers, client systems, mobile systems, and sensor environments. It is expected that research ideas developed in this project will enable controllable, robust, and therefore usable and efficient many-core systems, making our daily lives better and more productive, and taking a large step in making computing green.