中国科学院计算技术研究所机构知识库

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限定条件	作者：Li, Huawei分Li, Huawei

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	Saving Energy of RRAM-Based Neural Accelerator Through State-Aware Computing 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 7, 页码: 2115-2127 作者:  He, Yintao;  Wang, Ying;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：28/0  |  提交时间：2022/12/07 Computer architecture  Microprocessors  Resistance  Power demand  Training  Biological neural networks  Optimization  Low power (LP)  neural networks  processing-in-memory  resistive random-access memory (RRAM)
	A Fast Precision Tuning Solution for Always-On DNN Accelerators 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1236-1248 作者:  Wang, Ying;  He, Yintao;  Cheng, Long;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：25/0  |  提交时间：2022/12/07 Computer architecture  Neural networks  Computational modeling  Approximate computing  Tuning  Switches  Microprocessors  Always-on  CNN  computing-in-memory (CiM)  resistive RAM
	Taming Process Variations in CNFET for Efficient Last-Level Cache Design 期刊论文 IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2022, 卷号: 30, 期号: 4, 页码: 418-431 作者:  Xu, Dawen;  Feng, Zhuangyu;  Liu, Cheng;  Li, Li;  Wang, Ying;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：26/0  |  提交时间：2022/12/07 CNTFETs  Delays  Transistors  Layout  Very large scale integration  Radio frequency  Energy consumption  nanotube field-effect transistor (CNFET)  last-level cache (LLC)  process variation (PV)  variation-aware cache
	Architecting Effectual Computation for Machine Learning Accelerators 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 10, 页码: 2654-2667 作者:  Lu, Hang;  Zhang, Mingzhe;  Han, Yinhe;  Wang, Qi;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：88/0  |  提交时间：2020/12/10 Computational modeling  Throughput  Adders  Machine learning  Acceleration  Kernel  Computational efficiency  Accelerator architectures  neural network hardware  multiplying circuits
	A Case of On-Chip Memory Subsystem Design for Low-Power CNN Accelerators 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2018, 卷号: 37, 期号: 10, 页码: 1971-1984 作者:  Wang, Ying;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：68/0  |  提交时间：2019/12/10 Convolutional neural network (CNN)  deep learning  low power  memory subsystem