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| 知识可编程智能芯片系统:概念、架构与展望 | |
| 引用本文： | 张俊,王飞跃.知识可编程智能芯片系统:概念、架构与展望[J].模式识别与人工智能,2018,31(10):869-876. |
| 作者姓名： | 张俊 王飞跃 |
| 作者单位： | 1.中国科学院自动化研究所 复杂系统管理与控制国家重点实验室 北京 100190 2.武汉大学 电气与自动化学院 武汉 430072 3.青岛智能产业技术研究院 青岛 266109 |
| 摘 要： | 本文原创性地提出知识可编程智能芯片系统(KPI-CS)及其理论和工程体系.该系统在当前最先进的异构计算和可重构人工智能(AI)芯片技术的基础上,深度融合复杂系统工程理论、知识工程理论与技术、半导体芯片研发技术、人工智能可重构算法技术,提出基于知识的可重构智能芯片和计算系统平台技术.该系统旨在支持AI应用场景适应性、AI系统重构灵活性、AI算法算力合理性的平行智能AI芯片系统平台和对应的知识服务平台.同时,作为应用展望,KPI-CS与相应的应用平台联动,为平行复杂系统管理与控制、智能交通、智能能源、平行区块链、智能医疗等研究领域和工程实践提供新一代的实时、高效、自适应的计算系统支撑. |
| 关 键 词： | 人工智能 半导体集成电路设计 可重构芯片 平行智能 平行芯片 知识可编程智能芯片系统(KPI-CS) |
| 收稿时间： | 2018-09-05 |
Knowledge Programmable Intelligent Chip Systems(KPI-CS): Concept,Architecture and Vision |
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| ZHANG Jun,WANG Fei-Yue.Knowledge Programmable Intelligent Chip Systems(KPI-CS): Concept,Architecture and Vision[J].Pattern Recognition and Artificial Intelligence,2018,31(10):869-876. | |
| Authors: | ZHANG Jun WANG Fei-Yue |
| Affiliation: | 1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190 2.School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072 3.Qingdao Academy of Intelligent Industries, Qingdao 266109 |
| Abstract: | This article proposes the theory and the architecture of Knowledge Programmable Intelligent Chip Systems(KPI-CS). KPI-CS is based on cutting-edge heterogeneous computing and reconfigurable AI chip technologies, fusing complex system computing, knowledge engineering and semiconductor IC design technology. It is aimed at providing adaptability to different application scenarios, flexibility in chip architecture reconfiguration and rationality in AI algorithmic computing capability to support parallel intelligent systems. KPI-CS can provide effective and efficient real-time supporting computing facilities which adapt to different demands in intelligent systems. |
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