简介
陆瑾聪于2018年在中国科学技术大学获得学士学位，并于2026年在加州大学河滨分校计算机科学与工程系获得博士学位。他在超大规模集成电路系统与计算实验室（VLSI System and Computation Lab, VSCLAB）的研究主要聚焦于芯片设计中的基于机器学习的可靠性建模、热建模以及动态热管理。
教育经历
发表
- Jincong Lu, Jinwei Zhang, Wentian Jin, Sachin Sachdeva, Sheldon Tan, "Learning Based Spatial Power Characterization and Full-Chip Power Estimation for Commercial TPUs", ASP-DAC'23, Jan. 16–19, 2023
- Jincong Lu, Jinwei Zhang, Sheldon Tan, "Real-time Thermal Map Estimation for AMD Multi-Core CPUs Using Transformer", ICCAD'23, Oct. 28 - Nov. 2, 2023
- Liang Chen, Jincong Lu, Wentian Jin, Sheldon Tan, "Fast Full-Chip Parametric Thermal Analysis Based on Enhanced Physics Enforced Neural Networks", ICCAD'23, Oct. 28 - Nov. 2, 2023
- Sachin Sachdeva, Jincong Lu, Hussam Amrouch, Sheldon Tan, "Exploring BTI aging effects on spatial power density and temperature profiles of VLSI chips", Integration, 2024
- Jincong Lu, Sheldon Tan, "Thermal Map Dataset for Commercial Multi/Many Core CPU/GPU/TPU", MLCAD'24, Sept. 9-11, 2024
- Jincong Lu, Sachin Sachdeva, Yuxuan Lin, Sheldon Tan, "Real-time Thermal Map Characterization and Analysis for Commercial GPUs with AI Workloads", ISQED'25, Apr. 23-25, 2025
- Jincong Lu, Sachin Sachdeva, Haotian Lu, Sheldon Tan, "Power Map Characterization and Modeling for Commercial CPU/GPUs Considering Temperature Dependence", ISLPED'25, Aug. 6-8, 2025
教学 （在加州大学河滨分校作为助教）
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CS010A: 科学、数学和工程计算机科学导论 (C++)
2021秋, 2022秋
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CS010B: 科学、数学和工程计算机科学导论II (C++)
2022春
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CS150: 自动机和形式语言
2023春
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CS161L: 计算机系统设计与架构实验课
2023冬
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EE/CS168: 超大规模集成电路设计导论
2022冬