刘成 - 中国科学院大学 - 计算机科学与技术学院

个人简介

招生专业 081201-计算机系统结构招生方向专用硬件加速，FPGA可重构计算，容错计算教育背景 2009-09--2016-04 香港大学博士 2007-09--2009-07 哈尔滨工业大学硕士 2003-09--2007-07 哈尔滨工业大学本科工作简历 2018-06~现在, 中国科学院计算技术研究所, 副研 2016-12~2018-06,新加坡国立大学, Research Fellow 发表著作（1） FPGA overlays. In FPGAs for Software Programmers, Springer, 2016-12, 第 2 作者科研项目（ 1 ）基于FPGA的专用高能效图计算加速研究, 主持, 国家级, 2021-01--2022-12

研究领域

专用硬件加速，FPGA可重构计算，容错计算

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

（1） Reliability Evaluation and Analysis of FPGA-based Neural Network Acceleration System, IEEE Transactions on Very Large-Scale Integration (VLSI) Systems, 2021, 通讯作者（2） GCiM: A Near-Data Processing Accelerator for Graph Construction, IEEE/ACM Proceedings of Design, Automation Conference (DAC), 2021, 第 2 作者（3） PicoVO: A Lightweight RGB-D Visual Odometry Targeting Resource-Constrained IoT Devices, The 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, 通讯作者（4） Accelerating Generative Neural Networks on Unmodified Deep Learning Processors-A Software Approach, IEEE Transactions on Computers, 2020, 第 2 作者（5） EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks, IEEE Transactions on Computers, 2020, 第 3 作者（6） A Hybrid Computing Architecture for Fault-tolerant Deep Learning Accelerators, The 38th IEEE International Conference on Computer Design (ICCD), 2020, 通讯作者（7） DeepBurning-GL: an Automated Framework for Generating Graph Neural Network Accelerators, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2020, 第 2 作者（8） Persistent Fault Analysis of Neural Networks on FPGA-based Acceleration System, The 31th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2020, 通讯作者（9） CNT-Cache: an Energy-Efficient Carbon Nanotube Cache with Adaptive Encoding, IEEE/ACM Proceedings of Design, Automation and Test in Europe conference (DATE), 2020, 通讯作者（10） BitPruner: Network Pruning for Bit-Serial Accelerators, IEEE/ACM Proceedings of Design, Automation Conference (DAC), 2019, 第 3 作者（11） OBFS: OpenCL Based BFS Optimization on Software Programmable FPGAs, In 2019 International Conference on Field Programmable Technology (FPT), 2019, 第 1 作者（12） InS-DLA: An In-SSD Deep Learning Accelerator for Near-Data Processing, The International Conference on Field-Programmable Logic and Applications (FPL), 2019, 第 3 作者（13） Resilient Neural Network Training for Accelerators with Computing Errors, The 30th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2019, 通讯作者（14） QuickDough: a rapid FPGA loop accelerator design framework using soft CGRA overlay, 2015 International Conference on Field Programmable Technology (FPT), 2015, 第 1 作者