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吴比
( 副研究员 )
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的个人主页 http://faculty.nuaa.edu.cn/wubi/zh_CN/index.htm
副研究员 硕士生导师
招生学科专业:
电子信息 -- 【招收硕士研究生】 -- 集成电路学院
集成电路科学与工程 -- 【招收硕士研究生】 -- 集成电路学院
性别:
男
毕业院校:
北京航空航天大学
学历:
博士研究生毕业
学位:
工学博士学位
所在单位:
电子信息工程学院
办公地点:
将军路校区工程训练中心8312
电子邮箱:
312c97670fdf7f18ad6f804a17b859f044bb5d6020d4f3adb78142f512cc269d1a06a437fae6e172e441386a80700899cf622098c70065fb664e0024e27590e1bd3772742ef6bb8a28e5d7c6eb1efdbb23056fcc7a2be132dc0d6256e7b92e2bfae49702d804afbe613e5f2fb19b06895c3bc69355baaa6bad2973cd0074ba38
论文成果
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论文成果
[1] 余天洋,吴比,刘伟强,陈珂,张弓.Memristor-based Approximate Query Architecture for In-memory Hyperdimensional Computing.[J]:IEEE Transactions on Computers,2024
[2] 余天洋,吴比,刘伟强,陈珂,张弓.AttnACQ: Attentioned-AutoCorrelation Based Query for Hyperdimensional Associative Memory.[J]:IEEE Transactions on Circuits and Systems II: Express Briefs,2024
[3] 余天洋,吴比,陈珂,张弓,刘伟强.LAHDC: Logic-Aggregation based Query for Embedded Hyperdimentional Computing Accelerator.[J]:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,2024
[4] 祝浩男,吴比,余天洋,陈珂,闫成刚,刘伟强.A Potential Enabler for High-Performance In-Memory Multi-Bit Arithmetic Schemes With Unipolar Swi....[J]:IEEE Transactions on Circuits and Systems I: Regular Papers,2024,71(7):3165-3178
[5] 余天洋,吴比,陈珂,闫成刚,刘伟强.Toward Efficient Retraining: A Large-Scale Approximate Neural Network Framework With Cross-Layer ....[J]:IEEE Transactions on Very Large Scale Integration (VLSI) Systems,2024,32(6):1004-1017
[6] 吴比,刘伟强,余天洋,陈珂.Edge-Side Fine-Grained Sparse CNN Accelerator With Efficient Dynamic Pruning Scheme.[J]:IEEE Transactions on Circuits and Systems I: Regular Papers,2024
[7] 冉硕,吴比,陈珂,刘伟强.VLCP: A High-Performance FPGA-based CNN Accelerator with Vector-level Cluster Pruning.[C]:18th ACM International Symposium on Nanoscale Architectures,2023
[8] 余天洋,吴比,陈珂,张弓,刘伟强.Fully Learnable Hyperdimensional Computing Framework with Ultra-tiny Accelerator for Edge-side Ap....[J]:IEEE Transactions on Computers,2023
[9] 吴比,刘凯,刘伟强,余天洋,祝浩男,陈珂,闫成刚,邓尔雅.High-Performance STT-MRAM-Based Computing-in-Memory Scheme Utilizing Data Read Feature.[J]:IEEE Transactions on Nanotechnology,2023,22:817-826
[10] 吴比,祝浩男,,陈珂,闫成刚,刘伟强.MLiM: High-performance magnetic logic in-memory scheme with unipolar switching SOT-MRAM.[J]:IEEE Transactions on Circuits and Systems I: Regular Papers,2023
[11] 吴比,王昭昊,刘伟强,祝浩男,Dayane Reis,王颖,陈珂,Fabrizio Lombardi,Xiaobo Sharon Hu.An energy-efficient computing-in-memory (CiM) scheme using field-free spin-orbit torque (SOT) mag....[J]:IEEE Transactions on Emerging Topics in Computing,2023
[12] 刘凯,吴比,祝浩男,刘伟强.High-performance STT-MRAM Logic-in-Memory Scheme Utilizing Data Read Features.[C]:17th ACM International Symposium on Nanoscale Architectures,2022
[13] 张迪迪,吴比,祝浩男,刘伟强.Capacity-oriented High-performance NV-TCAM Leveraging Hybrid MRAM Scheme.[C]:17th ACM International Symposium on Nanoscale Architectures,2022
[14] 王航航,陈珂,吴比,王成华,刘伟强,Fabrizio Lombardi.HEADiv: A High-accuracy Energy-efficient Approximate Divider with Error Compensation.[C]:17th ACM International Symposium on Nanoscale Architectures,2022:1-6
[15] 余天洋,吴比,陈珂,闫成刚,刘伟强.Energy-efficient oriented approximate quantization scheme for fine-grained sparse neural network ....[C]:2022 IEEE 40th International Conference on Computer Design (ICCD),2022:762-769
共44条 1/3
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