BIAN Jinian | EDA lab, Department of Computer Science and Technology, Tsinghua University

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概要

• BIAN Jinianの詳細を見る
• 同名の論文著者
• EDA lab, Department of Computer Science and Technology, Tsinghua Universityの論文著者

関連著者

• ZHAO Kang

  EDA lab, Department of Computer Science and Technology, Tsinghua University

• BIAN Jinian

  EDA lab, Department of Computer Science and Technology, Tsinghua University

• GOTO Satoshi

  Graduate School of Information, Production and Systems, Waseda University

• Goto Satoshi

  Waseda Univ. Jpn

• DONG Sheqin

  EDA lab, Department of Computer Science and Technology, Tsinghua University

• SONG Yang

  Graduate School of Information, Production and Systems, Waseda University

• Bian Jinian

  Eda Lab Department Of Computer Science And Technology Tsinghua University

• Zhao Kang

  Eda Lab Department Of Computer Science And Technology Tsinghua University

• Zhao Kang

  Eda Lab Dep. Of Computer Sci. And Technol. Tsinghua Univ.

• Bian Jinian

  Eda Lab Dep. Of Computer Sci. And Technol. Tsinghua Univ.

• Song Yang

  Graduate School Of Ips Waseda University

• Song Yang

  Graduate School Of Information Production And Systems Waseda University

• Goto Satoshi

  Graduate School Of Information Production And System Waseda University

• Dong Sheqin

  Eda Lab Department Of Computer Science And Technology Tsinghua University

• Goto Satoshi

  Graduate School of Infomlation Production and Systems Waseda University

• ZHAO Yanni

  EDA lab, Department of Computer Science and Technology, Tsinghua University

• DENG Shujun

  EDA lab, Department of Computer Science and Technology, Tsinghua University

• KONG Zhiqiu

  EDA lab, Department of Computer Science and Technology, Tsinghua University

• Zhao Yanni

  Eda Lab Department Of Computer Science And Technology Tsinghua University

• Kong Zhiqiu

  Eda Lab Department Of Computer Science And Technology Tsinghua University

• Deng Shujun

  Eda Lab Department Of Computer Science And Technology Tsinghua University

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著作論文

• Pipeline-Based Partition Exploration for Heterogeneous Multiprocessor Synthesis
• Pipeline-Based Partition Exploration for Heterogeneous Multiprocessor Synthesis
• Exploring Partitions Based on Search Space Smoothing for Heterogeneous Multiprocessor System
• Fast Custom Instruction Identification Algorithm Based on Basic Convex Pattern Model for Supporting ASIP Automated Design
• Constrained Stimulus Generation with Self-Adjusting Using Tabu Search with Memory

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