报 告 人：David Atienza Alonso
瑞士洛桑联邦理工学院（EPFL）
主 持 人：马宇飞 助理教授
北京大学人工智能研究院
时 间：2025年4月8日 14:00-15:30
地 址：北京大学微纳电子大厦 103 报告厅
报告题目：
Accelerator-Centric Edge AI Architectures for Low-Power and Personalized Wearables
报告摘要：
Edge AI computing is targeting multiple domains nowadays, and a new set of complementary approaches have emerged as main avenues for designing novel accelerator-centric architectures for Cyber-Physical Systems (CPS) and wearable systems. The first approach is based on integrating enhanced general-purpose components in computing systems (such as adding computing capabilities in regular memory blocks, also called in-memory computing) as part of the micro-architecture of an edge AI system that comprises validated open hardware components (processors, memories, and peripherals). The second approach includes new accelerator modules inside the final edge AI architectures as a separate co-processing module of the target application domain, enabling new domain-specific heterogeneous system-on-chip (SoC) platforms. In this lecture, Prof. Atienza will cover the pros and cons of these two approaches, focusing on how to combine both based on recent research done within the X-HEEP open-hardware SoC architectural template. In particular, it will be shown how to integrate different families of accelerators, such as in-memory vs. near-memory acceleration or systolic arrays vs. Coarse-grained reconfigurable arrays (CGRA) to design the next generation of multi-parametric edge AI wearables targeting personalized healthcare.
报告人简介：
David Atienza Alonso现任瑞士洛桑联邦理工学院（EPFL）电气与计算机工程教授，兼任嵌入式系统实验室（ESL）主任，并于2024-2028年担任EPFL负责研究中心与平台的协理副校长。他的研究方向包括面向低功耗信息物理系统（CPS）和高能效计算服务器的多处理器片上系统（MPSoC）设计方法学。近期工作涵盖针对边缘AI系统的2.5D/3D功耗-热感知MPSoC架构设计，以及在物联网（IoT）背景下通过硬件/软件协同设计与基于AI的多层级优化实现可持续计算。
David Atienza Alonso 教授在上述领域合著了450余篇论文、1部专著，并拥有14项专利。他曾获多项荣誉与奖项，包括2024年IEEE/ACM硬件/软件协同设计会议（CODES-ISSS）持久影响力奖（表彰过去15年最具影响力的论文）、2020年ICCAD十年回顾最具影响力论文奖、2018年设计自动化会议（DAC）40岁以下创新者奖，以及IEEE CEDA和ACM SIGDA在EDA工具与系统研究领域的早期职业成就奖。他是IEEE Fellow和ACM Fellow，并于2022至2024年担任欧洲设计自动化协会（EDAA）主席，目前担任《IEEE计算机辅助设计汇刊》（IEEE TCAD）和《ACM Computing Surveys》的主编。
