知识可编程智能芯片系统:概念、架构与展望

Knowledge Programmable Intelligent Chip Systems( KPI-CS) :Concept,Architecture and Vision

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.

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.