no code implementations • 22 Dec 2023 • Qi Xu, Lijie Wang, Jing Wang, Song Chen, Lin Cheng, Yi Kang
In recent years, analog circuits have received extensive attention and are widely used in many emerging applications.
no code implementations • 19 Dec 2023 • Zihao Xuan, Song Chen, Yi Kang
Analog in-memory computing (AiMC) is an emerging technology that shows fantastic performance superiority for neural network acceleration.
no code implementations • 30 May 2023 • Junpeng Wang, Mengke Ge, Bo Ding, Qi Xu, Song Chen, Yi Kang
As one of the feasible processing-in-memory(PIM) architectures, 3D-stacked-DRAM-based PIM(DRAM-PIM) architecture enables large-capacity memory and low-cost memory access, which is a promising solution for DNN accelerators with better performance and energy efficiency.
no code implementations • 11 Dec 2022 • Bo Ding, Jinglei Huang, Junpeng Wang, Qi Xu, Song Chen, Yi Kang
To better solve the problems in the automation process of FPGA-PDRS and narrow the gap between algorithm and application, in this paper, we propose a complete workflow including three parts, pre-processing to generate the list of task modules candidate shapes according to the resources requirements, exploration process to search the solution of task modules partitioning, scheduling, and floorplanning, and post-optimization to improve the success rate of floorplan.