Xueqi Li is currently an Associate Professor at the Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). He is the founder of URSA (XPU-driven Research on System and Architecture) research group in ICT, CAS. He received his Ph.D. degree from ICT, CAS under the supervision of Prof. Ninghui Sun (Member of CAE). From 2018-2020, he was also co-advised by Prof. Yuan Xie as a joint Ph.D. student in SEAL Lab in the Department of Electrical and Computer Engineering at UC Santa Barbara. His current research focuses on Emerging Computer Architecture for Physical AI and AI4S, including Process-in-Memory (PIM) accelerators and systems (存算一体), RISC-V AI ISA-extension for XPU/PIM (RISC-V PIM指令扩展), Algorithm-Architecture-Technology Cross layer Optimization (跨层优化).
During his research on genomic alignment acceleration, he found emerging workloads increasingly combine compute- and memory-intensive operators—e.g., PIM for FM-index and XPU for Smith–Waterman—and observed similar patterns in LLMs, agents, and physical AI. With Prof. Ninghui Sun, he proposed the hyper-heterogeneous computing architecture concept (超异构计算机体系结构:电路-架构-系统), leveraging PIM and 3D integration to evolve CPU-GPU heterogeneous systems for compute-intensive workloads into CPU-XPU-PIM hyper-heterogeneous systems that handle compute-, memory-, and interaction-intensive workloads, accelerating emerging and complex AI workloads end to end. He is currently developing PANDA, a Physical AI Near Data Accelerator.
In Chinese, 在基因组比对加速研究中,他发现新兴工作负载日益融合计算密集型和访存密集型算子,意味着在加速结构中同时需要用于FM-index(访存密集)的PIM和用于Smith–Waterman(计算密集)的XPU,并进一步在大语言模型、智能体和物理AI中观察到类似模式。他与孙凝晖院士一起凝练提出了超异构计算机体系结构概念 (超异构计算机体系结构:电路-架构-系统),利用PIM和3D集成等变革技术,将适用于计算密集型工作负载的CPU-GPU异构系统演进为可同时适应计算密集型、访存密集型和交互密集型工作负载的CPU-XPU-PIM超异构系统,从而端到端加速新兴且复杂的AI工作负载。目前,他正在开发PANDA,一个面向物理AI近数据处理器与系统.
URSA group is looking for undergraduate interns and graduate students. If you are interested in domain specific accelerator, novel architecture, processing-in-memory, parallel computing and AI for Sciences. Please contact with Xueqi Li via lixueqi@ict.ac.cn.