论文标题
智能计算系统的智能体系结构
Intelligent Architectures for Intelligent Computing Systems
论文作者
论文摘要
计算被数据瓶颈。我们今天设计的现代机器的大量应用程序数据压倒性存储能力，通信能力和计算能力。我们认为，应设计智能体系结构来很好地处理数据。我们表明，处理数据井需要基于三个关键原则设计架构：1）以数据为中心，2）数据驱动，3）DataWare。我们提供了几个示例，说明如何利用这些原则来设计一个更高效，更高的计算系统。我们讨论如何实现这种根本上更聪明的建筑，我们认为这是效率，绩效和可持续性的关键。我们以一些指导原则为未来的计算体系结构和系统设计结束。随附的短论文摘要摘要了2021年日期的相关邀请演讲，并指出了读者的进一步工作，这可能是有益的。
Computing is bottlenecked by data. Large amounts of application data overwhelm storage capability, communication capability, and computation capability of the modern machines we design today. We argue that an intelligent architecture should be designed to handle data well. We show that handling data well requires designing architectures based on three key principles: 1) data-centric, 2) data-driven, 3) dataaware. We give several examples for how to exploit each of these principles to design a much more efficient and high performance computing system. We discuss how to enable adoption of such fundamentally more intelligent architectures, which we believe are key to efficiency, performance, and sustainability. We conclude with some guiding principles for future computing architecture and system designs. This accompanying short paper provides a summary of the associated invited talk at DATE 2021 and points the reader to further work that may be beneficial to examine.
