讲座题目🅱️：使GPU成为一流计算资源🤽🏽🐕：共享和资源管理 主讲人🙅🏼♀️：杨峻 教授 开始时间🧙🏽：2019-08-12 09:30:00 结束时间🌃：2019-08-12 10:30:00 讲座地址𓀁：上海光辉娱乐平台数学馆201 主办单位🧑🏻🦼：计算机科学与技术学院
报告人简介： 杨峻，匹兹堡大学电子与计算机工程系教授🤳🏽💂♂️。研究方向为计算机体系结构👗，研究方向包括GPU设计、新兴的内存技术、互连网络🤵🏿、3D集成以及电源和功耗管理技术🛜。获得了2008年的NSF CAREER award、2010年的IEEE Micro Top Picks奖🏅、2013年ISLPED和2007年ICCD最佳论文奖。被列入了HPCA名人堂。 报告内容： GPUs have evolved from traditional graphics accelerators into core compute engines for a broad class of general-purpose applications. However, current commercial offerings fall short of the great potential of GPUs largely because they cannot be managed as easily as the CPU. The enormous amount of hardware resources are often greatly underutilized. We developed new architecture features to enable fine-grained sharing of GPUs, termed Simultaneous Multi-kernel (SMK), in a similar way the CPU achieves sharing via simultaneous multithreading (SMT). With SMK, different applications can co-exist in every streaming multiprocessor of a GPU, in a fully controlled way. High resource utilization can be achieved by exploiting heterogeneity of different application behaviors. Resource apportion among sharers are developed for fairness, throughput, and quality-of-services. We also envision that SMK can enable better manageability of GPUs and new features such as more efficient synchronization mechanisms within an application. |
