简 历:
2023年09月—至今:中国科学院计算技术研究所副研究员,硕士生导师(2024年1月起),课题组长
其间,2024年01月—2025年01月,院重任局信息处借调,业务主管
2021年07月—2023年09月:中国科学院计算技术研究所特别研究助理、助理研究员,课题组长
2018年10月—2020年08月:美国加州大学圣塔芭芭拉分校,电机与计算机工程系,公派联合培养博士(导师:谢源教授)
2014年09月—2021年06月:中国科学院计算技术研究所,计算机系统结构专业,博士生(导师:孙凝晖院士)
2010年09月—2014年06月:中国地质大学(武汉),信息工程专业,本科生(李四光计划)
主要论著:
[1] [HPCA26] CoCoTree: A Computation-Capable Architecture for Collective Communication in Scalable PIM. Shunchen Shi#, Qijia Yang#, Fan Yang, Youwei Zhuo, Zhichun Li, Ninghui Sun, Xueqi Li*.
[2] [HPCA26] TurboFuzz: FPGA Accelerated Hardware Fuzzing for Processor Agile Verification. Yang Zhong#, Haoran Wu#, Xueqi Li, Sa Wang, David Boland, Yungang Bao, Kan Shi.
[3] [ISCAS26] HOPESim: a Lightweight and Modern C++ Based Accelerator Simulation Approach. Xueqi Li*, Ruihao Gao, Xiaoyu Zhang, Xiaoming Chen, Shunchen Shi, Fan Yang, Ninghui Sun.
[4] [ISCAS26] GPA: A General-Purpose In-Memory Computing Accelerator. Xiaoyu Zhang, Zerun Li, Libo Shen, Boyu Long, Xueqi Li, Yinhe Han, Xiaoming Chen.
[5] [ISCA26] Meridian: In-Memory Acceleration for RAG with Document Attention Decomposition. Chaoqiang Liu, Yu Huang, Haifeng Liu, Yi Zhang, Qihang Qiu, Xueqi Li, Long Zheng, Xiaofei Liao, Hai Jin, Jingling Xue.
[6] [DAC25] BlockPIM: Optimizing Memory Management for PIM-enabled Long-Context LLM Inference. Zhichun Li, Jun Zhou, Xueqi Li*, Ninghui Sun.
[7] [TCAD25] DuoPIM: RRAM-DRAM Hybrid PIM Acceleration for Flexible-Batch LLM Decoding. Xiaotian Sun, Xinyu Wang, Wanqian Li, Xueqi Li, Chunmeng Dou, Yinhe Han, Xiaoming Chen.
[8] [ASPLOS24] BeeZip: Towards An Organized and Scalable Architecture for Data Compression. Ruihao Gao, Zhichun Li, Guangming Tan, Xueqi Li*.
[9] [ICCD24] CoPIM: A Collaborative Scheduling Framework for Commodity Processing-in-memory Systems. Shunchen Shi, Xueqi Li*, Zhaowu Pan, Peiheng Zhang, Ninghui Sun.
[10] [BIBM23] TransCaller: An End-to-end Accelerated Transformer-based Nanopore Basecaller on GPUs. Di Xu, Peiheng Zhang, Yang Zhang, Shunchen Shi, Xueqi Li*.
[11] [HPCA23] NvWa: Enhancing Sequence Alignment Accelerator Throughput via Hardware Scheduling. Yewen Li, Xueqi Li*, Ruihao Gao, Wanqi Liu, Guangming Tan.
[12] [TPDS23] Accelerating k-Shape Time Series Clustering Algorithm Using GPU. Xun Wang, Ruibao Song, Junmin Xiao, Tong Li Xueqi Li*.
[13] [DAC22] MetaZip: A High-throughput and Efficient Accelerator for DEFLATE. Ruihao Gao, Xueqi Li*, Yewen Li, Xun Wang, Guangming Tan.
[14] [SC22] AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices. Zhen Du, Jiajia Li, Yinshan Wang, Xueqi Li, Guangming Tan, Ninghui Sun.
[15] [MICRO19] MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm. Wenqin Huangfu, Xueqi Li, Shuangchen Li, Xing Hu, Peng Gu, Yuan Xie.
[16] [DAC19] Efficient System Architecture in the Era of Monolithic 3D: Dynamic Inter-tier Interconnect and Processing-in-Memory. Dylan Stow, Itir Akgun, Wenqin Huangfu, Yuan Xie, Xueqi Li, Gabriel H. Loh.
[17] [PPoPP18] High-performance genomic analysis framework with in-memory computing. Xueqi Li, Guangming Tan, Bingchen Wang, Ninghui Sun.
*为通讯作者。
科研项目:
[1] 国家自然科学基金(基础科学中心项目):存储与计算融合,课题执行负责人,在研。
[2] 国家自然科学基金(重大项目):混合精度高能效存算一体芯片架构及关键技术,子课题负责人,在研。
[3] 国家重点研发计划:超异构软硬件协同计算统一框架,存算融合超异构加速器子课题负责人,结题。
[4] 国家自然科学基金(青年科学基金项目):面向基因比对的存算一体架构关键技术研究,项目负责人,结题。
[5] 中国科学院特别研究助理资助项目:面向基因组学大数据的存算一体关键技术研究,项目负责人,结题。
[6] 博新计划:面向基因组学大数据的存算一体关键技术研究,项目负责人,结题。

李雪琦 副研究员
研究方向:
所属部门:高性能计算机研究中心;处理器芯片全国重点实验室
导师类别:硕导计算机系统结构
联系方式:lixueqi@ict.ac.cn
个人网页:lixueqi.com