陈天石，男，1985年6月生，江西南昌人。2010年毕业于中国科学技术大学计算机学院，获工学博士学位。同年进入中国科学院计算技术研究所工作。研究方向为计算机体系结构和计算智能。在IEEE/ACM Transactions、Theoretical Computer Science、ASPLOS、ISCA、MICRO、HPCA、IJCAI、AAAI、SPAA、DATE等重要期刊和会议上发表论文40余篇。曾获ASPLOS最佳论文奖（2014）、MICRO最佳论文奖（2014）、全国百篇优秀博士论文提名奖（2012）、中国计算机学会优秀博士论文奖（2011）、中国科学院优秀博士论文奖（2011）、中国科学院院长奖（2010）等荣誉，并入选计算所百星计划（2011）、CCF-Intel青年学者提升计划（2014）。
2001年-2005年：中国科学技术大学少年班，获理学学士（数学与应用数学专业）
2005年-2010年：中国科学技术大学计算机学院，获工学博士（计算机软件与理论专业；导师陈国良、姚新）
2010年-2013年：中国科学院计算技术研究所 助理研究员
2013年-2016年：中国科学院计算技术研究所 副研究员
2015年获国家自然科学基金委员会优秀青年基金项目（优青）支持。
2016年：中国科学院计算技术研究所 研究员，中科寒武纪科技CEO 。研发出我国首款人工智能芯片寒武纪。
计算机体系结构、计算智能
-Tianshi Chen, Shijin Zhang, Shaoli Liu, Zidong Du, Tao Luo, Yuan Gao, Junjie Liu, Dongsheng Wang, Chengyong Wu, Ninghui Sun, Yunji Chen, and Olivier Temam, "A Small-Footprint Accelerator for Large-Scale Neural Networks," ACM Transactions on Computer Systems, in press.
-Tianshi Chen, Qi Guo, Olivier Temam, Yue Wu, Yungang Bao, Zhiwei Xu, and Yunji Chen, "Statistical Performance Comparisons of Computers," IEEE Transactions on Computers, in press .
-Qi Guo, Tianshi Chen, Zhi-Hua Zhou, Olivier Temam, Ling Li, Depei Qian, and Yunji Chen, "Robust Architectural Design Space Modeling," ACM Transactions on Design Automation of Electronic Systems, in press.
-Shaoli Liu, Tianshi Chen, Ling Li, Xi Li, Mingzhe Zhang, Chao Wang, Haibo Meng, Xuehai Zhou, and Yunji Chen, "FreeRider: Non-local Adaptive Network-on-Chip Routing with Packet-Carried Propagation of Congestion Information," IEEE Transactions on Parallel and Distributed Systems, in press.
-Jun He, Tianshi Chen, and Xin Yao, " On the Easiest and Hardest Fitness Functions," IEEE Transactions on Evolutionary Computation, in press
-Qi Guo, Tianshi Chen*, Yunji Chen, Rui Wang, and Huanhuan Chen, Weiwu Hu, and Guoliang Chen, "Pre-Silicon Bug Forecast," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol
-Tianshi Chen, Yunji Chen, Qi Guo, Zhi-Hua Zhou, Ling Li, and Zhiwei Xu, "Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations," ACM Transactions on Intelligent Systems and Technology, vol
-Weishan Dong, Tianshi Chen, Peter Tino, and Xin Yao, "Scaling Up Estimation of Distribution Algorithms For Continuous Optimization," IEEE Transactions on Evolutionary Computation, vol
-Yunji Chen, Tianshi Chen*, Ling Li, Ruiyang Wu, Daofu Liu, and Weiwu Hu, "Deterministic Replay Using Global Clock," ACM Transactions on Architecture and Code Optimization, vol
-Yunji Chen, Tianshi Chen, Ling Li, Lei Li, Liang Yang, Menghao Su and Weiwu Hu, "LDet: Determinizing Asynchronous Transfer for Post-silicon Debugging," IEEE Transactions on Computers, vol
-Yunji Chen, Lei Li, Tianshi Chen*, Ling Li, Lei Wang, Xiaoxue Feng, and Weiwu Hu, "Program Regularization in Memory Consistency Verification," IEEE Transactions on Parallel and Distributed Systems, vol
-Weiwu Hu, Yunji Chen, Tianshi Chen*, Cheng Qian, and Lei Li, "Linear Time Memory Consistency Verification," IEEE Transactions on Computers, vol
-Tianshi Chen, Ke Tang, Guoliang Chen, and Xin Yao, "A Large Population Size Can be Unhelpful in Evolutionary Algorithms," Theoretical Computer Science, vol
-Tianshi Chen, Ke Tang, Guoliang Chen, and Xin Yao, "Analysis of Computational Time of Simple Estimation of Distribution Algorithms," IEEE Transactions on Evolutionary Computation, vol
-Tianshi Chen, Jun He, Guoliang Chen, and Xin Yao, "Choosing Selection Pressure for Wide-gap Problems," Theoretical Computer Science, vol
-Tianshi Chen, Jun He, Guangzhong Sun, Guoliang Chen, and Xin Yao, "A New Approach to Analyzing Average Time Complexity of Population-based Evolutionary Algorithms on Unimodal Problems," IEEE Transactions on Systems, Man, and Cybernetics: Part B, vol
-Daofu Liu, Tianshi Chen, Shaoli Liu, Jinhong Zhou, Shengyuan Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, and Yunji Chen, "PuDianNao: A Polyvalent Machine Learning Accelerator," In Proceedings of 20th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'15)
-Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, and Olivier Temam, "DaDianNao: A Machine-Learning Supercomputer," In Proceedings of 47th IEEE/ACM International Symposium on Microarchitecture (MICRO'14)
-Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, and Olivier Temam, "DianNao: A Small-Footprint High-Throughput Accelerator for Ubiquitous Machine-Learning," In Proceedings of 19th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2014)
-Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, and Yunji Chen, "ArchRanker: A Ranking Approach to Design Space Exploration," In Proceedings of 41th ACM IEEE International Symposium on Computer Architecture (ISCA'14)
-Tianshi Chen, Yunji Chen, Qi Guo, Olivier Temam, Yue Wu, and Weiwu Hu, "Statistical Performance Comparisons of Computers," In Proceedings of 18th International Symposium on High-Performance Computer Architecture (HPCA-18)
-Tianshi Chen, Yunji Chen, Marc Duranton, Qi Guo, Atif Hashmi, Mikko Lipasti, Andrew Nere, Shi Qiu, Michele Sebag, and Olivier Temam, "BenchNN: On the Broad Potential Application Scope of Hardware Neural Network Accelerators," In Proceedings of 2012 International Symposium on Workload Characterization (IISWC'12)
-Qi Guo, Tianshi Chen, Yunji Chen, Zhi-Hua Zhou, Weiwu Hu, and Zhiwei Xu, "Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations," In Proceedings of 22nd International Joint Conference on Artificial Intelligence (IJCAI'11)
-Lei Li, Tianshi Chen, Yunji Chen, Ling Li, Cheng Qian, and Weiwu Hu, "Brief Announcement: Program Regularization in Verifying Memory Consistency," In Proceedings of 23rd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA'11)
-Qi Guo, Tianshi Chen, Haihua Shen, Yunji Chen, Yue Wu and Weiwu Hu, "Empirical Design Bugs Prediction for Verification," In Proceedings of 2011 Design, Automation and Test in Europe Conference (DATE'11)
-Ke Tang, Rui Wang, and Tianshi Chen, "Towards Maximizing The Area Under The ROC Curve For Multi-class Classification Problems," In Proceedings of 25th AAAI Conference on Artificial Intelligence (AAAI'11)
-Qi Guo, Tianshi Chen, Haihua Shen, Yunji Chen, and Weiwu Hu, "On-the-fly Reduction of Stimuli for Functional Verification," In Proceedings of 19th IEEE Asian Test Symposium (ATS'10), Shanghai, China
-Yunji Chen, Weiwu Hu, Tianshi Chen, and Ruiyang Wu, "LReplay: A Pending Period Based Deterministic Replay Scheme," In Proceedings of 37th ACM IEEE International Symposium on Computer Architecture (ISCA'10)
-Yunji Chen, Yi Lv, Weiwu Hu, Tianshi Chen, Haihua Shen, Pengyu Wang, and Hong Pan, "Fast Complete Memory Consistency Verification," In Proceedings of 15th International Symposium on High-Performance Computer Architecture (HPCA-15)
-Tianshi Chen, Per Kristian Lehre, Ke Tang, and Xin Yao, "When Is an Estimation of Distribution Algorithm Better than an Evolutionary Algorithm," In Proceedings of 2009 IEEE Congress on Evolutionary Computation (CEC'09)
-Tianshi Chen, Ke Tang, Guoliang Chen, and Xin Yao, "Rigorous Time Complexity Analysis of Univariate Marginal Distribution Algorithm with Margins," In Proceedings of 2009 IEEE Congress on Evolutionary Computation (CEC'09)
-Tianshi Chen, Ke Tang, Guoliang Chen, and Xin Yao, "On the Analysis of Average Time Complexity of Estimation of Distribution Algorithms," In Proceedings of 2007 IEEE Congress on Evolutionary Computation (CEC'07)
“我们刚开始做人工智能（AI）芯片这个方向的时候，AI芯片其实一点都不热——首先，AI不热；给AI做一个专门的芯片，就更不热。”
陈天石 中科寒武纪科技CEO
陈天石口中的“我们”，指的是“寒武纪科技创始团队”。这位年少成名的中国科学院计算技术研究所研究员，那时还没想过“寒武纪科技创始人兼CEO”这个头衔会让他如此出名。寒武纪科技是全球智能芯片领域的先行者，陈天石在处理器架构和人工智能领域深耕十余年。2019年10月，寒武纪发布“云端芯片思元270”。陈天石介绍，“思元270”是寒武纪最新一代云端AI芯片产品，集成了120亿个晶体管，处理稠密机器学习模型的理论峰值性能提升至上一代思元100的4倍，达到128万亿次（INT8）。“‘思元270’支持INT4、INT8，INT16和INT32运算，理论峰值分别达到256万亿次、128万亿次、64万亿次和32万亿次；支持混合精度运算，支持同一机器学习模型内的不同数据块使用不同的运算精度进行计算。”此外，“思元270”采用寒武纪公司自主研发的MLUv02架构，包含数百条人工智能基本指令，支持16个处理器核协同开展高效的计算，满足多样化机器学习模型的计算力要求，兼备通用性和性能优势，可支持视觉、语音、自然语言处理以及传统机器学习等高度多样化的人工智能应用。
2019年11月，在第21届高交会上，寒武纪科技发布了一款面向边缘人工智能计算的芯片新品“思元220”（MLU220），思元220的问世，标志着寒武纪已经具备了从终端(寒武纪1A、1H、1M处理器IP)、边缘端(思元220芯片)到云端(思元100、思元270芯片)完整的智能芯片产品线。
2017年度科技创新人物陈天石陈云霁兄弟 。研制了国际上首个深度学习处理器寒武纪，引领了该领域的学术发展；将寒武纪应用到华为旗舰手机Mate10中，使先进智能技术普惠千家万户；孵化了国际上首个智能芯片独角兽创业公司寒武纪公司。
2021年11月3日，寒武纪发布第三代云端AI芯片思元370、基于思元370的两款加速卡MLU370-S4和MLU370-X4、全新升级的Cambricon Neuware软件栈。从云端推理思元270、边缘推理思元220、云端训练思元290，到最新发布的推训一体思元370，寒武纪为用户提供了覆盖不同场景、不同算力规模的全系列产品。此次发布的256TOPS算力的思元370主要面向中高端推训场景，与主要面向训练的512TOPS高端产品思元290形成协同，共同为客户提供全功能、全场景的智能算力。寒武纪长期秉承“云边端一体、训推一体、软硬件协同”的技术理念。370新品发布和寒武纪统一基础软件平台Cambricon Neuware的全新升级，将这一技术理念的落实又向前推进了重要的一步。寒武纪用自己的研发实力和研发速度向市场印证自己的初心与决心：为人工智能的大爆发提供最好用的AI芯片，让机器更好地理解和服务人类。
2020年5月12日，以66.0亿元财富位列《2020新财富500富人榜》第484位。
2020年11月2日，以210亿元人民币财富位列《2020胡润80后白手起家富豪榜》第10位。
2020年，以202.8亿元财富位列《2020福布斯中国400富豪榜》第185位。
2021年4月，以190亿元人民币财富位列《2021胡润全球白手起家U40富豪榜》第34位。
2021年12月，胡润研究院发布《2021胡润U40青年企业家榜》，陈天石排名第21位。
2022年3月，以110亿财富位列《2022家大业大酒·胡润全球富豪榜》第2115名。
2022年，以16亿美元财富位列《2022年福布斯全球亿万富豪榜》第1818位。
2021年12月，列入《2021中国品牌人物500强》榜单，排名第429位。