DOT-PIM: Agile Design and Optimization Tools for Processing-In-Memory


ROOM: H0.03

09:00-09:05 Prof. Yu Wang, Tsinghua University, Opening

09:05-09:45 Prof. Onur Mutlu, ETH & CMU, Memory-Centric Computing

09:45-10:15 Dr. Abbas Rahimi, IBM, A Neuro-Vector-Symbolic Architecture for Data- and Compute-Efficient Continual Learning, Abstract Reasoning, and Combinatorial Inference

10:15-10:30 Coffee Break

10:30-11:00 Prof. Huaqiang Wu, Tsinghua University, Full-stack Deployment and Design tools for RRAM-based Compute-in-memory System

11:00-11:30 Prof. Li Jiang, Shanghai Jiao Tong University & Huawei, Opportunities and Challenges for Process-In-Memory (PIM) Technology in ICT Products

11:30-12:00 Prof. Xiaoming Chen, ICT, Chinese Academy of Sciences, EDA Toolchain for Processing-in-Memory CNN Accelerators

12:00-13:30 Lunch & Poster Sharing Sessions

13:30-14:10 Prof. Yu (Kevin) Cao, University of Minnesota, HISIM: Heterogeneous Integration Simulator with 2.5D/3D Interconnect Modeling

14:10-14:40 Prof. Fengbin Tu, HKUST, Digital Computing-In-Memory Architecture and Design Automation

14:40-15:10 Prof. Grace Li Zhang, TU Darmstadt, Robust and Efficient Analog In-Memory-Computing Platforms for Neural Networks

15:10-15:25 Coffee Break

15:25-15:55 Prof. Yaoyu Tao, Peking University, Fast and Reconfigurable Sort-In-Memory System Enabled by Memristors

15:55-16:20 Mr. Yuan-Chun Luo, GIT, advisor: Prof. Shimeng Yu, Benchmarking Framework for Non-volatile Capacitive Compute-in-Memory

16:20-16:45 Mr. Shiyu Li, Duke, advisor: Prof. Yiran Chen, Towards Efficient Processing in Memory AI Systems with Cross-layer Optimization

16:45-16:50 Closing Remark

Workshop Webpage

Please visit the DOT-PIM website for more details.