Special Sessions

  • Date: January 19 - 21, 2021
  • Presentations and chat Q&A are available from Jan. 12 to 29.
  • Live chat Q&A sessions, which all the speakers and session chairs in each session are attending, are held according to the table below.
Date/
Time (Live chat Q&A)/Place
Title
1A Tuesday, January 19
15:00 - 15:30
RoomA
"University LSI Design Contest I"
2A Tuesday, January 19
15:30 - 16:00
RoomA
"University LSI Design Contest II"
SS-1 Tuesday, January 19
15:30 - 16:00
RoomC
Invited Talks: "Emerging Trends for Cross-Layer Co-Design: From Device, Circuit, to Architecture, Application"
SS-2 Tuesday, January 19
16:00 - 16:30
RoomA
Invited Talks: "ML-Driven Approximate Computing"
SS-3 Wednesday, January 20
15:00 - 15:30
RoomA
Invited Talks: "Technological Advancements inside the AI chips, and using the AI Chips"
SS-4 Wednesday, January 20
15:30 - 16:00
RoomC
Invited Talks: "Security Issues in AI and Their Impacts on Hardware Security"
SS-5 Thursday, January 21
15:00 - 15:30
RoomA
Invited Talks: "Platform-Specific Neural Network Acceleration"
SS-6 Thursday, January 21
15:30 - 16:00
RoomC
Invited Talks: "Design Automation for Future Autonomy"
SS-7 Thursday, January 21
16:00 - 16:30
RoomC
Invited Talks: "Cutting-Edge EDA Techniques for Advanced Process Technologies"
SS-8 Thursday, January 21
16:00 - 16:30
RoomD
Invited Talks: "Robust and Reliable Memory Centric Computing at Post-Moore"

1A: Tuesday, January 19, 15:00 - 15:30, RoomA

"University LSI Design Contest I"

2A: Tuesday, January 19, 15:30 - 16:00, RoomA

"University LSI Design Contest II"

SS-1: Tuesday, January 19, 15:30 - 16:00, RoomC

Invited Talks: "Emerging Trends for Cross-Layer Co-Design: From Device, Circuit, to Architecture, Application"
Chairs: Xunzhao Yin (Zhejiang Univ., China), Mohsen Imani (Univ. of California, Irvine, USA)
  • 1: Impact of Emerging Devices on Future Computing
    Hussam Amrouch (Univ. of Stuttgart, Germany)
  • 2: SaVI: Seed-and-Vote based In-Memory Accelerator for DNA Read Mapping
    Xiaobo Sharon Hu (Univ. of Notre Dame, USA)
  • 3: Digital-based Processing In-Memory for Acceleration of Unsupervised Learning
    Mohsen Imani (Univ. of California, Irvine, USA)

SS-2: Tuesday, January 19, 16:00 - 16:30, RoomA

Invited Talks: "ML-Driven Approximate Computing"
Chairs: Hussam Amrouch (Karlsruhe Inst. of Tech., Germany), Jörg Henkel (Karlsruhe Inst. of Tech., Germany)
  • 1: ML-Driven Run-time Configurable Approximate circuits
    Georgios Zervakis (Karlsruhe Inst. of Tech., Germany), Hussam Amrouch (University of Stuttgart, Germany), Joerg Henkel (Karlsruhe Inst. of Tech., Germany)
  • 2: The Art of Creating Approximate Components for Machine Learning
    Sri Parameswaran (Univ. of New South Wales, Australia)
  • 3: Approximate High-Level Synthesis
    Georgios Zervakis (Karlsruhe Inst. of Tech., Germany), Hassaan Saadat (Univ. of New South Wales, Austria), Hussam Amrouch (Univ. of Stuttgart, Germany), Andreas Gerstlauer (Univ. of Texas, Austin, USA), Sri Parameswaran (Univ. of New South Wales, Australia), Joerg Henkel (Karlsruhe Inst. of Tech., Germany)

SS-3: Wednesday, January 20, 15:00 - 15:30, RoomA

Invited Talks: "Technological Advancements inside the AI chips, and using the AI Chips"
Chair: Ravikumar Chakaravarthy (Xilinx, USA)
  • 1: Energy-Efficient Deep Neural Networks with Mixed-Signal Neurons and Dense-Local and Sparse-Global Connectivity
    Baibhab Chatterjee, Shreyas Sen (Purdue Univ., USA)
  • 2: Merged Logic and Memory Fabrics for AI Workloads
    Brian Crafton, Samuel Spetalnick, Arjit Raychowdhury (Georgia Tech, USA)
  • 3: Vision Control Unit in Fully Self Driving Vehicles using Xilinx MPSoC and Opensource Stack
    Ravikumar Chakaravarthy, Hyun Kwon, Hua Jiang (Xilinx Inc, USA)

SS-4: Wednesday, January 20, 15:30 - 16:00, RoomC

Invited Talks: "Security Issues in AI and Their Impacts on Hardware Security"
Chairs: Jiliang ZHANG (Hunan Univ., China), Lingjuan Wu (Huazhong Agricultural Univ., China)
  • 1: Micro-architectural Cache Side-Channel Attacks and Countermeasures
    Chaoqun Shen, Congcong Chen, Jiliang Zhang (Hunan Univ., China)
  • 2: Approximate Computing on Deep Neural Networks: a Hardware-oriented Model-irrelevant Defense to Adversarial Examples
    Qian Xu (Univ. of Maryland College Park, USA), Md Tanvir Arafin (Morgan State Univ., USA), Gang Qu (Univ. of Maryland College Park, USA)
  • 3: Learning Assisted Side Channel Delay Test for Detection of Recycled ICs
    Ashkan Vakil (George Mason Univ., USA), Farzad Niknia (Univ. of Maryland Baltimore County, USA), Ali Mirzaeian, Avesta Sasan (George Mason Univ., USA), Naghmeh Karimi (Univ. of Maryland Baltimore County, USA)
  • 4: ML-augmented Methodology for Fast Thermal Side-Channel Emission Analysis
    Norman Chang, Deqi Zhu, Lang Lin, Dinesh Selvakumaran, Jimin Wen, Stephen Pan, Wenbo Xia, Hua Chen, Calvin Chow (Ansys, USA), Gary Chen (National Taiwan Univ., Taiwan)

SS-5: Thursday, January 21, 15:00 - 15:30, RoomA

Invited Talks: "Platform-Specific Neural Network Acceleration"
Chair: Yanzhi Wang (Northeastern Univ., USA)
  • 1: Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications
    Hongjia Li, Geng Yuan (Northeastern Univ., USA), Wei Niu (College of William and Mary, USA), Yuxuan Cai, Mengshu Sun, Zhengang Li (Northeastern Univ., USA), Bin Ren (College of William and Mary, USA), Xue Lin, Yanzhi Wang (Northeastern Univ., USA)
  • 2: Dynamic Neural Network to Enable Run-Time Trade-off between Accuracy and Latency
    Li Yang, Deliang Fan (Arizona State Univ., USA)
  • 3: When Machine Learning Meets Quantum Computer: Network-Circuit Co-Design via Quantum-Aware Neural Architecture Search
    Weiwen Jiang (Univ. of Notre Dame, USA)
  • 4: Improving Efficiency in Neural Network Acceleration using Operands Hamming Distance Optimization
    Vikas Chandra (Facebook AI Research, USA)
  • 5: Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs
    Zhepeng Wang, Yawen Wu, Zhenge Jia (Univ. of Pittsburgh, USA), Yiyu Shi (Univ. of Notre Dame, USA), Jingtong Hu (Univ. of Pittsburgh, USA)

SS-6: Thursday, January 21, 15:30 - 16:00, RoomC

Invited Talks: "Design Automation for Future Autonomy"
Chair: Qi Zhu (Northwestern Univ., USA)
  • 1: Efficient Computing Platform Design for Autonomous Driving Systems
    Shuang Liang, Xuefei Ning, Jincheng Yu, Kaiyuan Guo (Tsinghua Univ., China), Tianyi Lu, Changcheng Tang (Novauto, China), Shulin Zeng, Yu Wang, Diange Yang, Huazhong Yang (Tsinghua Univ., China)
  • 2: On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study
    Bo Yu (PerceptIn, USA), Jie Tang (South China Univ. of Tech., China), Shaoshan Liu (PerceptIn, USA)
  • 3: Runtime Software Selection for Adaptive Automotive Systems
    Chia-Ching Fu, Ben-Hau Chia, Chung-Wei Lin (National Taiwan Univ., Taiwan)
  • 4: Safety-Assured Design and Adaptation of Learning-Enabled Autonomous Systems
    Qi Zhu, Chao Huang, Ruochen Jiao, Shuyue Lan, Hengyi Liang, Xiangguo Liu, Yixuan Wang, Zhilu Wang, Shichao Xu (Northwestern Univ., USA)

SS-7: Thursday, January 21, 16:00 - 16:30, RoomC

Invited Talks: "Cutting-Edge EDA Techniques for Advanced Process Technologies"
Chairs: Wenjian Yu (Tsinghua Univ., China), Lifeng Wu (Huada Empyrean, China)
  • 1: Deep Learning for Mask Synthesis and Verification: A Survey
    Yibo Lin (Peking Univ., China)
  • 2: Physical Synthesis for Advanced Neural Network Processors
    Bei Yu (Chinese Univ. of Hong Kong, Hong Kong)
  • 3: Advancements and Challenges on Parasitic Extraction for Advanced Process Technologies
    Wenjian Yu, Mingye Song, Ming Yang (Tsinghua Univ., China)

SS-8: Thursday, January 21, 16:00 - 16:30, RoomD

Invited Talks: "Robust and Reliable Memory Centric Computing at Post-Moore"
Chairs: Grace Li Zhang (Tech. Univ. of Munich, Germany), Cheng Zhuo (Zhejiang Univ., China)
  • 1: Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems
    Hanbo Sun, Zhenhua Zhu, Yi Cai, Shulin Zeng, Kaizhong Qiu, Yu Wang, Huazhong Yang (Tsinghua Univ., China)
  • 2: Robustness of Neuromorphic Computing with RRAM-based Crossbars and Optical Neural Networks
    Grace Li Zhang, Bing Li, Ying Zhu (Tech. Univ. of Munich, Germany), Tianchen Wang, Yiyu Shi (Univ. of Notre Dame, USA), Xunzhao Yin, Cheng Zhuo (Zhejiang Univ., China), Huaxi Gu (Xidian Univ., China), Tsung-Yi Ho (National Tsing Hua Univ., Taiwan), Ulf Schlichtmann (Tech. Univ. of Munich, Germany)
  • 3: Uncertainty Aware Architecture Search for Emerging Device based Computing-in-Memory Neural Accelerators
    Zheyu Yan (Univ. of Notre Dame, USA), Da-Cheng Juan (National Tsing Hua Univ., Taiwan), Xiaobo Juan, Yiyu Shi (Univ. of Notre Dame, USA)
  • 4: A Physical-Aware Framework for Memory Network Design Space Exploration
    Tianhao Shen, Di Gao, Li Zhang (Zhejiang Univ., China), Jishen Zhao (Univ. of California, San Diego, USA), Cheng Zhuo (Zhejiang Univ., China)

Last Updated on: December 9, 2020