Shan Guangbao, Zheng Yanwen, Xing Chaoyang, Chen Dongdong, Li Guoliang, Yang Yintang
School of Microelectronics, Xidian University, Xi'an 710071, China.
Beijing Institute of Aerospace Control Devices, Beijing 100039, China.
Micromachines (Basel). 2022 Jan 28;13(2):205. doi: 10.3390/mi13020205.
Computing systems are widely used in medical diagnosis, climate prediction, autonomous vehicles, etc. As the key part of electronics, the performance of computing systems is crucial in the intellectualization of the equipment. The conflict between performance, efficiency, and cost can be solved by choosing an appropriate computing system architecture. In order to provide useful advice and instructions for the designers to fabricate high-performance computing systems, this paper reviews the Chiplet-based computing system architectures, including computing architecture and memory architecture. Firstly, the computing architecture used for high-performance computing, mobile, and PC is presented and summarized. Secondly, the memory architecture based on mainstream memory and emerging non-volatile memory used for data storing and processing are introduced, and the key parameters of memory are compared and discussed. Finally, this paper is concluded, and the future perspectives of computing system architecture based on Chiplet are presented.
计算系统广泛应用于医学诊断、气候预测、自动驾驶汽车等领域。作为电子设备的关键部分，计算系统的性能对于设备的智能化至关重要。通过选择合适的计算系统架构，可以解决性能、效率和成本之间的冲突。为了为设计人员制造高性能计算系统提供有用的建议和指导，本文综述了基于小芯片的计算系统架构，包括计算架构和内存架构。首先，介绍并总结了用于高性能计算、移动设备和个人电脑的计算架构。其次，介绍了基于主流内存和新兴非易失性内存用于数据存储和处理的内存架构，并对内存的关键参数进行了比较和讨论。最后，对本文进行了总结，并展望了基于小芯片的计算系统架构的未来前景。
