5 citations · 9 across the 38 of their papers we have counts for
6 papers · 1 filter
OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis
Liwei Ni, Rui Wang, Miao Liu +10
This paper introduces OpenLS-DGF, an adaptive logic synthesis dataset generation framework, to enhance machine learning~(ML) applications within the logic synthesis process. Previo…
Boolean-aware Boolean Circuit Classification: A Comprehensive Study on Graph Neural Network
Liwei Ni, Xinquan Li, Biwei Xie +1
Boolean circuit is a computational graph that consists of the dynamic directed graph structure and static functionality. The commonly used logic optimization and Boolean matching-b…
IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA
Zesong Jiang, Qing Zhang, Cheng Liu +3
Open-source EDA tools are rapidly advancing, fostering collaboration, innovation, and knowledge sharing within the EDA community. However, the growing complexity of these tools, ch…
MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs
Junfeng Gong, Cheng Liu, Long Cheng +2
Mixed-precision neural network (MPNN) that utilizes just enough data width for the neural network processing is an effective approach to meet the stringent resources constraints in…
Graphitron: A Domain Specific Language for FPGA-based Graph Processing Accelerator Generation
Xinmiao Zhang, Zheng Feng, Shengwen Liang +4
FPGA-based graph processing accelerators, enabling extensive customization, have demonstrated significant energy efficiency over general computing engines like CPUs and GPUs. Nonet…
SigDLA: A Deep Learning Accelerator Extension for Signal Processing
Fangfa Fu, Wenyu Zhang, Zesong Jiang +8
Deep learning and signal processing are closely correlated in many IoT scenarios such as anomaly detection to empower intelligence of things. Many IoT processors utilize digital si…